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	<title>exascreen Archives - Pharmacelera | Pushing the limits of computational chemistry</title>
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	<title>exascreen Archives - Pharmacelera | Pushing the limits of computational chemistry</title>
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		<title>VAST Novel Chemical Space Integrated with exaScreen® to Leverage 3D Ultra-Large Chemical Spaces</title>
		<link>https://pharmacelera.com/blog/partnerships/vast-novel-chemical-space-integrated-with-exascreen/</link>
		
		<dc:creator><![CDATA[Enric Herrero]]></dc:creator>
		<pubDate>Mon, 27 Apr 2026 12:59:23 +0000</pubDate>
				<category><![CDATA[Partnerships]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[partnership]]></category>
		<category><![CDATA[VAST]]></category>
		<category><![CDATA[Virtual screening]]></category>
		<category><![CDATA[XtalPi]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=15155</guid>

					<description><![CDATA[<p>Barcelona, Spain, and Cambridge, United States – April 28th – Pharmacelera, the leading provider of advanced computational tools for drug discovery, and [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/partnerships/vast-novel-chemical-space-integrated-with-exascreen/">VAST Novel Chemical Space Integrated with exaScreen® to Leverage 3D Ultra-Large Chemical Spaces</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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									<p><strong>Barcelona, Spain, and Cambridge, United States – April 28<sup>th</sup> </strong>– <strong>Pharmacelera</strong>, the leading provider of advanced computational tools for drug discovery, and <strong>XtalPi</strong>, a pioneering Drug Discovery powered by AI and Automation, today announced the launch of a powerful new joint solution that integrates the <strong>XtalPi’s VAST</strong><strong><sup>TM </sup>library</strong> with Pharmacelera’s flagship virtual screening platform, <strong><a href="https://pharmacelera.com/exascreen/">exaScreen</a><sup>®</sup></strong>. This launch will provide researchers with unprecedented access to synthetically tractable chemical space combined with cutting-edge 3D computational methods for hit and lead discovery.</p>
<p>As the pharmaceutical industry increasingly turns to ultra-large libraries to identify novel hits, the challenge lies in <strong>navigating chemical diversity accurately while ensuring synthetic feasibility</strong>. The new joint solution directly addresses this challenge by combining <strong>Pharmacelera’s advanced Quantum-Mechanics-based tools</strong> with the <strong>XtalPi VAST</strong><strong><sup>TM</sup> chemical space</strong>, a curated collection of chemically diverse and highly synthesizable compounds.</p>
<p>With this launch, researchers can:</p>
<ul>
<li>Conduct accurate and efficient virtual screening across the <a href="https://www.aifchem.com/vast" target="_blank" rel="noopener">VAST</a><sup>TM</sup> library either through the licensing of the technology or through service projects</li>
<li>Rapidly source and synthesize compounds for experimental validation.</li>
<li>Expand opportunities to generate <strong>novel Intellectual Property (IP)</strong> through VAST<sup>TM</sup> chemical space and custom follow-up synthesis</li>
<li>Streamline the path from virtual prediction to real-world testing.</li>
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				“The integration of the VAST chemical space into exaScreen® represents a major step forward for researchers. Together with Pharmacelera, we are enabling scientists to move seamlessly from computational insights to physical compounds with unmatched efficiency.”			</p>
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											<cite class="elementor-blockquote__author">Peiyu Zhang, Chief Science Officer of XtalPi</cite>
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				“This launch is fully aligned with Pharmacelera’s mission to push the boundaries of computational drug discovery.”			</p>
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											<cite class="elementor-blockquote__author">Rémy Hoffmann, Chief Business Development Officer at Pharmacelera</cite>
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				“We are thrilled to collaborate with XtalPi to apply our accurate QM- and ML-based algorithms to the VAST chemical Space, giving researchers access to a truly tractable and innovative chemical space.”			</p>
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											<cite class="elementor-blockquote__author"> Enric Gibert, CEO of Pharmacelera</cite>
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									<p><strong><em>About XtalPi</em></strong></p>
<p>XtalPi is an innovative technology platform company powered by artificial intelligence (Al) and robotics. Founded in 2015 on the MIT campus, XtalPi is dedicated to driving intelligent and digital transformation in the Life Sciences and new materials industries. With tightly interwoven quantum physics, Al, cloud computing, and large-scale clusters of robotic workstations, XtalPi offers a range of technology solutions, services, and products to accelerate and empower innovation for biopharmaceutical and new materials companies worldwide.</p>
<p><strong>About Pharmacelera</strong></p>
<p>Pharmacelera is a deep-tech science-first company founded by experienced drug hunters, high-performance computing engineers, and leading academic researchers. The company has developed a proprietary in-silico platform that integrates accurate 3D Quantum-Mechanics (QM) models with advanced Artificial Intelligence (AI) algorithms to design novel, diverse, and high-quality molecules from ultra-large and previously untapped chemical spaces. Pharmacelera solutions provide access to its cutting-edge technology for HitID, H2L and LO. Founded in 2015 and with offices in Barcelona and Boston, Pharmacelera collaborates with leading pharmaceutical and biotech organizations across Europe and the United States.</p>								</div>
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		<p>The post <a href="https://pharmacelera.com/blog/partnerships/vast-novel-chemical-space-integrated-with-exascreen/">VAST Novel Chemical Space Integrated with exaScreen® to Leverage 3D Ultra-Large Chemical Spaces</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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		<title>New JCIM paper about ultralarge chemical space exploration</title>
		<link>https://pharmacelera.com/blog/publications/new-jcim-paper-about-ultralarge-chemical-space-exploration/</link>
		
		<dc:creator><![CDATA[Enric Herrero]]></dc:creator>
		<pubDate>Wed, 11 Jun 2025 12:37:30 +0000</pubDate>
				<category><![CDATA[Events]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[exadock]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[jcim]]></category>
		<category><![CDATA[ultra-large chemical space]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14856</guid>

					<description><![CDATA[<p>In our latest paper published in the Journal of Chemical Information and Modeling (JCIM) by the American Chemical Society, we introduce two [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/publications/new-jcim-paper-about-ultralarge-chemical-space-exploration/">New JCIM paper about ultralarge chemical space exploration</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></description>
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							Enric Herrero						</h4>
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						<p>Chief Technology Officer</p>
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									<p><span data-contrast="auto">In <a href="https://pubs.acs.org/doi/abs/10.1021/acs.jcim.5c00222" target="_blank" rel="noopener">our latest paper</a> published in the Journal of Chemical Information and Modeling (</span><i><span data-contrast="auto">JCIM)</span></i><span data-contrast="auto"> by the American Chemical Society, we introduce </span><b><span data-contrast="auto">two innovative methods</span></b><span data-contrast="auto"> for exploring ultra-large chemical libraries using accurate 3D </span><b><span data-contrast="auto">quantum mechanics-based descriptors</span></b><span data-contrast="auto">.</span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p><span data-contrast="auto">The rapid expansion of ultra-large chemical libraries has revolutionized drug discovery, providing access to billions of compounds. However, this growth poses relevant challenges for traditional virtual screening (VS) methods. To address these limitations, synthon-based approaches have emerged as scalable alternatives, exploiting combinatorial chemistry principles to prioritize building blocks over enumerated molecules. </span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p><span data-contrast="auto">With current library sizes, synthon-based approaches have 100k times lower computational cost than brute force methods. Since chemical spaces are growing rapidly and synthon-based methods scale better, this gap will continuously grow.</span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p><span data-contrast="auto">In this work, we present <span style="font-family: 'Arial',sans-serif; color: black;"><b>exa</b></span><b><span style="font-family: 'Arial',sans-serif; color: #f62398;">Screen</span></b></span><span data-contrast="auto"> and </span><b><span data-contrast="auto">exa</span></b><b><span style="font-family: 'Arial',sans-serif; color: #00fa9a;" data-contrast="none">Dock</span></b><span data-contrast="auto">, two novel synthon-based methodologies designed for ligand-based and structure-based VS, respectively. </span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p><span data-contrast="auto"><a href="https://pharmacelera.com/exascreen/"><span style="font-family: 'Arial',sans-serif; color: black;"><b>exa</b></span><b><span style="font-family: 'Arial',sans-serif; color: #f62398;">Screen</span></b></a>: Our 3D ligand-based tool for virtual screening exploits atomic descriptors to select the optimal synthons through similarity measurements of the 3D molecular fields generated by the synthons and the reference fragment. For the set of reference compounds considered, the overall accuracy of <span style="font-family: 'Arial',sans-serif; color: black;"><b>exa</b></span><b><span style="font-family: 'Arial',sans-serif; color: #f62398;">Screen</span></b></span><span data-contrast="auto"> compares with the results obtained with brute force, as noted in the similar recovery of actives and the significant degree of identity between the actives selected by the two methods but at a significantly lower computational cost. <span style="font-family: 'Arial',sans-serif; color: black;"><b>exa</b></span><b><span style="font-family: 'Arial',sans-serif; color: #f62398;">Screen</span></b></span><span data-contrast="auto"> explores 70 billion compounds in less than 7 hours in a single workstation and requires less than 6 GB of disk storage.</span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p><span data-contrast="auto"><b>exa</b><b><span style="font-family: 'Arial',sans-serif; color: #00fa9a;" data-contrast="none">Dock</span></b>: Our new structure-based method for ultra-large libraries exploits a restrained docking to explore hybrid compounds (fragment reference + synthon) recurrently for the distinct reference fragments, which ultimately leads to the selection of the optimal synthon-based compounds built from the best ranked synthons identified for the reference fragments. The <b>exa</b><b><span style="font-family: 'Arial',sans-serif; color: #00fa9a;" data-contrast="none">Dock</span></b></span><b><span data-contrast="none"> </span></b><span data-contrast="auto">methodology can perform a search of EnamineREAL with a 50K lower computational cost than brute force.</span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p><span data-contrast="auto">We evaluated both approaches across 11 diverse biological targets, including kinases and GPCRs. We show that <span style="font-family: 'Arial',sans-serif; color: black;"><b>exa</b></span><b><span style="font-family: 'Arial',sans-serif; color: #f62398;">Screen</span></b></span><span data-contrast="auto"> and <b>exa</b><b><span style="font-family: 'Arial',sans-serif; color: #00fa9a;" data-contrast="none">Dock</span></b></span><span data-contrast="auto"> achieve recovery rates comparable to brute-force screening strategies, offering computationally efficient strategies for VS in ultra-large chemical spaces using accurate 3D descriptors. </span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6}"> </span></p><p data-ccp-border-bottom="1px solid #000000" data-ccp-padding-bottom="1.3333333333333333px"><span data-contrast="auto">One particularly interesting observation is the difference in </span><b><span data-contrast="auto">scaffold overlap</span></b><span data-contrast="auto"> between our proposed methods and brute-force methods. In ligand-based, there is a significant overlap among the recovered active scaffolds while, in structure-based, the overlap is lower. This difference is explained by the influence of the geometrical and physicochemical properties of the binding site, particularly to the compactness of the pocket and to the solvent exposure of the reference fragments.</span><span data-ccp-props="{&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335572079&quot;:6,&quot;335572080&quot;:1,&quot;335572081&quot;:4278190080,&quot;469789806&quot;:&quot;single&quot;}"> </span></p>								</div>
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		<p>The post <a href="https://pharmacelera.com/blog/publications/new-jcim-paper-about-ultralarge-chemical-space-exploration/">New JCIM paper about ultralarge chemical space exploration</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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		<title>New release out &#8211; 2025.01</title>
		<link>https://pharmacelera.com/blog/science/new-release-out-2025-01/</link>
		
		<dc:creator><![CDATA[Enric Herrero]]></dc:creator>
		<pubDate>Mon, 10 Feb 2025 10:40:07 +0000</pubDate>
				<category><![CDATA[Science]]></category>
		<category><![CDATA[Upgrades]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[graphical user interface]]></category>
		<category><![CDATA[molxplore]]></category>
		<category><![CDATA[pharmqsar]]></category>
		<category><![CDATA[PharmScreen]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14818</guid>

					<description><![CDATA[<p>We’re excited to announce the release of Pharmacelera’s 2025.01 software update!   What’s New in 2025.01?   &#x1f539; Custom Ultra-Large Library Generation [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/science/new-release-out-2025-01/">New release out &#8211; 2025.01</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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										<content:encoded><![CDATA[<p style="margin: 0in; line-height: 19pt;">We’re excited to announce the release of Pharmacelera’s 2025.01 software update!</p>
<p style="margin: 0in; line-height: 19pt;"> </p>
<p style="margin: 0in; line-height: 19pt;"><b><u>What’s New in 2025.01?</u></b></p>
<p style="margin: 0in; line-height: 19pt;"> </p>
<p style="margin: 0in; line-height: 19pt;">&#x1f539; <b>Custom Ultra-Large Library Generation</b> – The new <b>exa</b><b>Screen</b>®<b>-intra</b> add-on allows you to generate <b>exa</b><b>Screen</b>®-compatible libraries from your own internal Building Blocks and chemical reactions.</p>
<p style="margin: 0in; line-height: 19pt;"> </p>
<p style="margin: 0in; line-height: 19pt;">&#x1f539; <b>Advanced Filtering Options</b> – <b>Pharm</b><b>Screen</b>® now supports enhanced substructure pattern matching, enabling more precise compound searches.</p>
<p style="margin: 0in; line-height: 19pt;"> </p>
<p style="margin: 0in; line-height: 19pt;">&#x1f539; <b>Boosted Performance &amp; Scalability</b> – Both <b>Pharm</b><b>Screen</b>® and <b>exa</b><b>Screen</b>® now support processors with hundreds of threads, delivering significantly faster results.</p>
<p style="margin: 0in; line-height: 19pt;"> </p>
<p style="margin: 0in; line-height: 19pt;">&#x1f539; <b>Updated Screening Libraries</b> – Our latest screening libraries now include:</p>
<ul type="disc">
<li style="color: #1c1c1c; mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; text-align: justify; line-height: 19.0pt; mso-list: l0 level1 lfo1; tab-stops: list .5in;">Enamine Screening Collection </li>
<li style="color: #1c1c1c; mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; text-align: justify; line-height: 19.0pt; mso-list: l0 level1 lfo1; tab-stops: list .5in;">Molport </li>
<li style="color: #1c1c1c; mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; text-align: justify; line-height: 19.0pt; mso-list: l0 level1 lfo1; tab-stops: list .5in;">Enamine REAL Space (now featuring 70 billion compounds, screenable in under 7 hours, using less than 6 GB of storage).</li>
</ul>
<p style="margin: 0in; line-height: 19pt;">&#x1f539; <b>Expanded File Format Support</b> – Molecular field projections and QSAR model coefficients can now be exported in DX and GRD formats, ensuring compatibility with a wider range of visualizers.</p>
<p> </p>
<p style="margin: 0in; line-height: 19pt;">&#x1f539; <b>Pharm</b><b>QSAR</b>® <b>Integration in MolXplore</b> – You can now visualize <b>Pharm</b><b>QSAR</b>® models directly in MolXplore, making SAR analysis of QSAR coefficients more intuitive.</p>
<h2>Request your license</h2>
<p>			<iframe aria-label='Request a Trial' frameborder="0" style="height:900px;width:99%;border:none;" src='https://forms.zohopublic.com/virtualoffice17604/form/PharmScreenKnimeopinion/formperma/joj6Z1Od6Zg9zs82uQzUBz_HsGJOLWTf4BXle0jfTLg'></iframe></p>
<p>The post <a href="https://pharmacelera.com/blog/science/new-release-out-2025-01/">New release out &#8211; 2025.01</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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		<title>Hit identification for  CCR2 using ultra-large virtual screening and FEP</title>
		<link>https://pharmacelera.com/blog/partnerships/case-study-in-ccr2-using-ultra-large-virtual-screening-and-fep/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Wed, 26 Jun 2024 13:18:21 +0000</pubDate>
				<category><![CDATA[Partnerships]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[Free Energy Perturbation]]></category>
		<category><![CDATA[PharmScreen]]></category>
		<category><![CDATA[Virtual screening]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14622</guid>

					<description><![CDATA[<p>Barcelona, Leiden and Uppsala, July 2nd 2024 – Pharmacelera, the leading provider of computational tools for hit discovery, the Leiden Academic Center [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/partnerships/case-study-in-ccr2-using-ultra-large-virtual-screening-and-fep/">Hit identification for  CCR2 using ultra-large virtual screening and FEP</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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									<p><strong>Barcelona, Leiden and Uppsala, July 2nd 2024</strong> – Pharmacelera, the leading provider of computational tools for hit discovery, the Leiden Academic Center for Drug Research (LACDR) at Leiden University and MODSIM Pharma AB, the leading provider of physics-based biomolecular simulations tools, have announce the collaboration on a common project for the identification of new bio-active chemical entities for the C-C chemokine type 2 receptor (CCR2).</p><p>The project implies the combination of Computer-Aided Drug Design software with experimental validation and is performed in a sequential manner. The first stage consists in the identification of novel and diverse hits using exaScreen®, Pharmacelera proprietary technology, to perform a virtual screening of the Enamine REAL Space (48 billion compounds) based on 3D interaction fields derived from Quantum-Mechanics (QM) calculations. Selected candidates will be experimentally validated at the LACDR in a radioligand binding assay. Using this information, MODSIM Pharma will apply its proprietary <em>Free Energy Perturbation (FEP) </em>technology to optimize, prioritize and propose novel compounds that will be experimentally validated.</p><p>The research is part of the master&#8217;s project of Donald van Pinxteren, who will carry out the execution and analysis of the results obtained in the screening and FEP methods.</p><p>Working synergistically on this project reinforces the collaboration between Pharmacelera and MODSIM, and clearly highlight that integrated resources, expertise, and capabilities are key for speeding up drug discovery projects.</p>								</div>
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									<p><strong>About Pharmacelera</strong></p><p><a href="https://pharmacelera.com/"><strong>Pharmacelera</strong> </a>develops advanced computational tools for the discovery of novel hits using accurate Quantum-Mechanics (QM), Artificial Intelligence (AI), and High-Performance Computing (HPC). The company’s products <a href="https://pharmacelera.com/pharmscreen/"><strong>PharmScreen</strong></a><strong>®, <a href="https://pharmacelera.com/exascreen/">exaScreen</a></strong>® and <a href="https://pharmacelera.com/pharmqsar/"><strong>PharmQSAR</strong></a>® use 3D molecular descriptors derived from Quantum-Mechanics (QM) calculations to mine an unexplored chemical space and to identify hits uncovered by traditional algorithms. Pharmacelera is a private company founded in 2015 and based in Barcelona, Spain. The company works with several big pharma and biotech organizations across Europe and the United States.</p><p><strong>About MODSIM Pharma AB</strong></p><p><a href="https://modsim-pharma.com/"><strong>MODSIM Pharma</strong></a> develops computational software and pipelines to increase the performance of structure-based drug discovery. The company has developed highly computationally efficient Free Energy Perturbation simulations protocols adapted for high-performance computing (HPC). The QresFEP module allows for systematic in-silico mutagenesis applicable to assess site-directed mutagenesis experiments or protein stability studies. With QligFEP, MODSIM Pharma can perform ligand optimization, scaffold hopping, linker length adjustment or postscoring pose ranking, based on accurate and systematic FEP simulations of ligand series. Initially focused on G protein-coupled receptors (GPCRs), the company has recently evolved the GPCR-Modsim web server, a one-stop shop for the 3D modeling and molecular dynamics (MD) simulations of GPCRs, into a generic membrane protein modeling and simulation package optimized for HPC.</p><p>MODSIM Pharma is a private company founded in 2018 and based in Uppsala, Sweden. The company offers the optimized combination of either module to address problems related to target characterization of structure-based ligand optimization and has agreements or contracts with different biotech and pharma companies.</p><p><strong>About LACDR</strong></p><p>The <a href="https://www.universiteitleiden.nl/en/science/drug-research"><strong>Leiden Academic Centre for Drug Research</strong></a> (LACDR) is a centre of excellence for multidisciplinary research on drug discovery and development. Despite major advances in medicine- research, many common diseases such as cancers, neurological or cardiovascular diseases, or auto-immune diseases, still lack effective treatment, or are still often found incurable. That is why our work to develop new and more effective drugs is essential. At the LACDR we work at the leading edge of drug-design and fundamental research of new drugs, optimization of existing drugs, and personalised medicine.</p>								</div>
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									<p><strong>Media Contacts</strong></p><p><strong><u>Pharmacelera</u></strong></p><p>Rémy Hoffmann, CBDO (<a href="mailto:remy.hoffmann@pharmacelera.com">remy.hoffmann@pharmacelera.com</a>)</p><p><strong><u>MODSIM Pharma</u></strong></p><p>Hugo Gutiérrez de Terán, CEO (<a href="mailto:hugo@modsim-pharma.com">hugo@modsim-pharma.com</a>) </p><p><strong><u>University of Leiden</u></strong></p><p>Willem Jespers, Assistant Professor (<a href="mailto:w.jespers@lacdr.leidenuniv.nl">w.jespers@lacdr.leidenuniv.nl</a>)</p>								</div>
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		<p>The post <a href="https://pharmacelera.com/blog/partnerships/case-study-in-ccr2-using-ultra-large-virtual-screening-and-fep/">Hit identification for  CCR2 using ultra-large virtual screening and FEP</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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		<title>Pharmacelera extends the current partnership with Enamine for the screening of ultra-large chemical libraries</title>
		<link>https://pharmacelera.com/blog/partnerships/pharmacelera-and-enamine-extend-partnership/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Tue, 07 May 2024 08:06:19 +0000</pubDate>
				<category><![CDATA[Partnerships]]></category>
		<category><![CDATA[enamine]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[partnership]]></category>
		<category><![CDATA[Pharmacelera]]></category>
		<category><![CDATA[REAL database]]></category>
		<category><![CDATA[ultra-large chemical space]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14601</guid>

					<description><![CDATA[<p>Barcelona, Spain, and Kyiv, Ukraine, 07 May 2024. Pharmacelera, the leading provider of computational tools for hit discovery, and Enamine, the developer [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/partnerships/pharmacelera-and-enamine-extend-partnership/">Pharmacelera extends the current partnership with Enamine for the screening of ultra-large chemical libraries</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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									<p><strong>Barcelona, Spain, and Kyiv, Ukraine, 07 May 2024</strong>. Pharmacelera, the leading provider of computational tools for hit discovery, and Enamine, the developer of the world’s largest and most reputable virtual space: REAL, have announced the extension of their current partnership to explore an extraordinary magnitude of compounds, that has been extended by a 10 fold factor – when compared to the early version -. Ultra-large chemical libraries constitute a key paradigm to tap into new and still unexplored chemical spaces, increasing the probability for the researcher to find new and chemically diverse potent hits for Discovery Programs. Efficient handling of the ultra-large compound libraries still remains the main challenge.</p><p>In 2022, Pharmacelera and Enamine started their collaboration with the plug-in of Enamine Real Database &#8211; over 165 well-validated parallel synthesis protocols applied to over 138,000 qualified reagents and building blocks at this stage- to the new version of Pharmacelera’s virtual screening flagship tool. The resulting software product was named <span style="text-decoration: underline;"><a href="https://pharmacelera.com/exascreen/"><span style="color: #000000; text-decoration: underline;"><strong>exa</strong></span><span style="color: #e83397; text-decoration: underline;"><strong>Screen</strong></span></a></span><em>®</em> . <strong>exa</strong><span style="color: #e83397;"><strong>Screen</strong></span><em>®</em>  is harnessing the power of Artificial Intelligence (AI) and Quantum-Mechanics (QM) algorithms. The success of this initial phase prompted both partners to create an efficient approach to give their customers an access to more REAL Compounds to find new diverse starting points for drug discovery by allowing the screening of Enamine’s REAL Space consisting  today of 48 billion compounds. The resulting hits can be synthesized by Enamine within only a 3-4 weeks period with an 80% success rate. More analogues for hit follow-up activities are accessible for Pharmacelera’s customers,with Enamine offering an access to several trillions of REAL Compounds, and an even of make-on-demand (“MADE”) Building Blocks.</p><p>As part of this extended partnership, Enamine will receive a license to use <strong>exa</strong><span style="color: #e83397;"><strong>Screen</strong></span><em>®</em> for their internal library research work.  </p><p><em>“Screening of ultra-large virtual chemical libraries has shown to be a powerful approach that can give a quick access to potent IP-free hits for a wide variety of targets. We are really delighted to count on Pharmacelera among our armada of talented deep -tech partners, and to extend our current collaboration with Pharmacelera to use their <strong>exa<span style="color: #e83397;">Screen</span></strong>® technology to extract the needles from our exciting expandable 3D space environment, but also being glad to use it in-house for our own screening library development work.</em><em>»</em><em>, </em>said Michael Bossert, Head of Strategic Alliances at Enamine.</p><p><em style="font-family: var( --e-global-typography-006953f-font-family ), Sans-serif; font-size: var( --e-global-typography-006953f-font-size ); font-weight: var( --e-global-typography-006953f-font-weight ); letter-spacing: var( --e-global-typography-006953f-letter-spacing ); word-spacing: var( --e-global-typography-006953f-word-spacing ); background-color: var( --e-global-color-3f6bb8ee );">“This agreement is fully aligned with Pharmacelera’s strategy to work with leading institutions in the field of Drug Discovery that have complementary technology and expertise”, says Rémy Hoffmann, Chief Business Development Officer at Pharmacelera. “We are thrilled to expand the current collaboration started on December 2022 with Enamine, the prominent compound provider, to apply our accurate Quantum-Mechanics (QM) and Machine Learning (ML) algorithms to mine the Enamine’s REAL Space and deliver synthesizable compounds that can be further evaluated in biological assays”, </em>said Enric Gibert, Pharmacelera’s CEO.</p><p><strong>About Enamine</strong></p><p>Enamine is a scientifically driven integrated discovery Contract Research Organisation with unique partnering opportunities in exploring new chemical space. The company combines access to the inhouse produced screening compounds (4.2M in stock) and building blocks (300K in stock) with a comprehensive platform of integrated discovery services to advance and accelerate the efforts in Drug Discovery. For more information visit: <a href="https://enamine.net">https://enamine.net</a></p><p><strong>About Enamine REAL Space</strong></p><p><a href="https://enamine.net/compound-collections/real-compounds/real-database">Enamine REAL</a> Space contains 48 billion make-on-demand molecules that can be synthesized at Enamine extremely fast (3-4 weeks), with high feasibility (over 80%), and inexpensive. The REAL compounds are created by parallel chemistry through the compilation of 424,490 building blocks via more than 164 well-validated parallel synthesis protocols, underlying Enamine’s approach to design make-on-demand compounds to maximize synthesis success rate.</p><p><strong>About Pharmacelera</strong></p><p>Pharmacelera develops advanced computational tools for the discovery of novel hits using accurate Quantum-Mechanics (QM), Artificial Intelligence (AI), and High-Performance Computing (HPC). The company’s products <span style="text-decoration: underline;"><a href="https://pharmacelera.com/pharmscreen/"><strong><span style="color: #000000; text-decoration: underline;">Pharm</span><span style="color: #ed7d31; text-decoration: underline;">Screen</span></strong></a></span>®, <span style="text-decoration: underline;"><a href="https://pharmacelera.com/exascreen/"><strong><span style="color: #000000; text-decoration: underline;">exa</span><span style="color: #e83397; text-decoration: underline;">Screen</span></strong></a></span><em>®</em> and <span style="text-decoration: underline;"><a href="https://pharmacelera.com/pharmqsar/"><strong><span style="color: #000000; text-decoration: underline;">Pharm</span><span style="color: #782181; text-decoration: underline;">QSAR</span></strong></a></span><em>®</em> use 3D molecular descriptors derived from Quantum-Mechanics (QM) calculations to mine an unexplored chemical space and to identify diverse hits uncovered by traditional algorithms. Pharmacelera is a private company founded in 2015 and based in Barcelona, Spain. The company works with several big pharma and biotech organizations across Europe and the United States.</p>								</div>
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		<p>The post <a href="https://pharmacelera.com/blog/partnerships/pharmacelera-and-enamine-extend-partnership/">Pharmacelera extends the current partnership with Enamine for the screening of ultra-large chemical libraries</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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		<title>Access to Pharmacelera technologies</title>
		<link>https://pharmacelera.com/blog/science/accessing-pharmacelera-technologies/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Wed, 07 Feb 2024 12:24:05 +0000</pubDate>
				<category><![CDATA[Science]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[molxplore]]></category>
		<category><![CDATA[pharmqsar]]></category>
		<category><![CDATA[PharmScreen]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14451</guid>

					<description><![CDATA[<p>The technology behind a software is important, but so is how to access it. The user interface (UI) allows users to effectively [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/science/accessing-pharmacelera-technologies/">Access to Pharmacelera technologies</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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							Fernando Martin						</h4>
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						<p>Pre & Post Sales Manager</p>
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									<p>The technology behind a software is important, but so is how to access it. The user interface (UI) allows users to effectively interact with the software and take advantage of the technology behind it. That&#8217;s why it&#8217;s important to provide users with user-friendly, powerful and intuitive UIs.</p><p>Each user is unique and has different needs, both in terms of preferences and the resources available to them. It is therefore important to offer different methods to suit those needs. In this article we will discuss the different ways to access Pharmacelera technologies.</p>								</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-e52f8f7 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="e52f8f7" data-element_type="section" data-e-type="section">
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												<figure class="wp-caption">
										<img decoding="async" width="298" height="300" src="https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI-298x300.png" class="attachment-medium size-medium wp-image-14453" alt="access to pharmacelera technolgies" srcset="https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI-298x300.png 298w, https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI-150x150.png 150w, https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI-230x231.png 230w, https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI-350x352.png 350w, https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI-480x483.png 480w, https://pharmacelera.com/wp-content/uploads/2024/02/licence_UI.png 490w" sizes="(max-width: 298px) 100vw, 298px" />											<figcaption class="widget-image-caption wp-caption-text">Your license includes several ways access to our technologies</figcaption>
										</figure>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-53dc070 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="53dc070" data-element_type="section" data-e-type="section">
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					<h2 class="elementor-heading-title elementor-size-default">Command-line Interface (CLI)</h2>				</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-ab7057a elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="ab7057a" data-element_type="section" data-e-type="section">
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									<p>The CLI is probably one of the most widespread ways to interact with <a href="https://pharmacelera.com/pharmscreen/"><strong>PharmScreen</strong></a>, <strong><a href="https://pharmacelera.com/exascreen/">exaScreen</a> </strong>and <strong><a href="https://pharmacelera.com/pharmqsar/">PharmQSAR</a></strong>. This is the preferred option when using Linux operating systems through terminal applications, having access to all software functionalities. For other operating systems, you can take advantage of the Application Programming Interface (see below). Some of the features of the CLI are:I</p><ul><li>It is a versatile way to interact PharmScreen, exaScreen and PharmQSAR with the system environment, having good control over the execution process.</li><li>You can leverage programming languages such as Bash or Python to automate certain processes (e.g., running several virtual screening campaigns at once).</li><li>You need fewer hardware resources: Graphical environments require more hardware resources for molecular visualization.</li><li>It allows you to connect to external resources such as other workstations, high performance computing (HPC) clusters, where there are usually no graphical interfaces.</li><li>You can run graphical applications, such as MolXplore, to analyze screening results.</li></ul>								</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-a0be71f elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="a0be71f" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
					<h2 class="elementor-heading-title elementor-size-default">Application Programming Interface (API)</h2>				</div>
				</div>
					</div>
		</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-8be48f8 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="8be48f8" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
									<p>The API is another way to interact with our software. The API will allow you to run our tools on any OS, thanks to its integration with <strong><a href="https://www.docker.com/">Docker</a></strong>. Some of the API features are:</p><ul><li>The ability to run Pharmacelera technologies on any operating system.</li><li>To use simple configuration files to run your screening campaigns.</li><li>To run your computations on external workstations, HPC clusters or cloud services, such as Amazon Web Services (AWS).</li></ul>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-3d15303 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="3d15303" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
					<h2 class="elementor-heading-title elementor-size-default">MolXplore</h2>				</div>
				</div>
					</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-9198972 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="9198972" data-element_type="section" data-e-type="section">
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									<p>MolXplore is our GUI for analyzing the results obtained by our technologies. This tool, compatible with any operating system or accessible via web browser, provides a modern and intuitive environment to have a deeper understanding of your screening results, helping you to select the right compounds for later phases.</p><p>You can find the features and options of MolXplore in this <strong><a href="https://pharmacelera.com/blog/science/molxplore/">post</a></strong>.</p>								</div>
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												<figure class="wp-caption">
										<img decoding="async" width="661" height="372" src="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_main_GUI.png" class="attachment-large size-large wp-image-14415" alt="Main windows of MolXplore" srcset="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_main_GUI.png 661w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_main_GUI-300x169.png 300w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_main_GUI-230x129.png 230w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_main_GUI-350x197.png 350w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_main_GUI-480x270.png 480w" sizes="(max-width: 661px) 100vw, 661px" />											<figcaption class="widget-image-caption wp-caption-text">Main interface of MolXplore</figcaption>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-79bd12b elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="79bd12b" data-element_type="section" data-e-type="section">
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					<h2 class="elementor-heading-title elementor-size-default">Knime nodes</h2>				</div>
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									<p>The Knime platform is a graphical solution to build workflows that can help you analyze your data. The Pharmacelera extension (PharmScreen and exaScreen nodes) can easily connect to chemoinformatics nodes to run and analyze your virtual screening campaigns, connecting the results to other nodes for further analysis.</p><p>Some of the features of the <strong><a href="https://pharmacelera.com/blog/upgrades/new-knime-nodes/">Pharmacelera nodes</a></strong> developed for Knime are:</p><ul><li>An intuitive graphical user interface for setting up and running a virtual screening campaign using PharmScreen or exaScreen.</li><li>The nodes use the Pharmacelera API, which means you can use Knime nodes on any operating system and run your screenings locally or on a remote cluster.</li><li>You can reuse existing workflows created by Pharmacelera or the Knime community, making it easier to analyze your data.</li></ul>								</div>
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										<img loading="lazy" decoding="async" width="385" height="82" src="https://pharmacelera.com/wp-content/uploads/2023/12/Picture1.png" class="attachment-large size-large wp-image-14380" alt="New knime nodes" srcset="https://pharmacelera.com/wp-content/uploads/2023/12/Picture1.png 385w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture1-300x64.png 300w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture1-230x49.png 230w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture1-350x75.png 350w" sizes="(max-width: 385px) 100vw, 385px" />											<figcaption class="widget-image-caption wp-caption-text">Three nodes are available for our technologies PharmScreen (Library Preparation and Virtual Screening) and exaScreen</figcaption>
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					<h2 class="elementor-heading-title elementor-size-default">Want to learn more?</h2>				</div>
				</div>
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		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-89ae61d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="89ae61d" data-element_type="section" data-e-type="section">
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									<p>If you would like to evaluate how our software can help you in your drug discovery projects or are looking for more customized services, please do not hesitate to contact us. We will provide you with personalized assistance so that you can find the best solution for your research.</p>								</div>
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		<p>The post <a href="https://pharmacelera.com/blog/science/accessing-pharmacelera-technologies/">Access to Pharmacelera technologies</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></content:encoded>
					
		
		
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		<item>
		<title>New Graphical User Interface: MolXplore</title>
		<link>https://pharmacelera.com/blog/science/molxplore/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Thu, 11 Jan 2024 10:15:03 +0000</pubDate>
				<category><![CDATA[Science]]></category>
		<category><![CDATA[Upgrades]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[graphical user interface]]></category>
		<category><![CDATA[molxplore]]></category>
		<category><![CDATA[PharmScreen]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14413</guid>

					<description><![CDATA[<p>For some computational and medicinal chemists, a good graphical user interface (GUI) is essential. It makes it easier to analyze, understand and [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/science/molxplore/">New Graphical User Interface: MolXplore</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></description>
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							Fernando Martin						</h4>
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						<p>Pre & Post Sales Manager</p>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-9a9c97f elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="9a9c97f" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-912256c elementor-widget elementor-widget-text-editor" data-id="912256c" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p>For some computational and medicinal chemists, a good graphical user interface (GUI) is essential. It makes it easier to analyze, understand and draw conclusions from results. And that is what <strong>MolXplore</strong> is: a novel and modern GUI that helps scientists visualize the potential compound candidates of a virtual screening campaign, analyze the results using the different options available, and draw the right conclusions about which compounds should be prioritized for further analysis, such as performing a docking campaign or directly purchasing the molecules for in vitro assays.</p>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-444f465 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="444f465" data-element_type="section" data-e-type="section">
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															<img loading="lazy" decoding="async" width="600" height="338" src="https://pharmacelera.com/wp-content/uploads/2024/01/main_page.gif" class="attachment-large size-large wp-image-14423" alt="main page of molxplore animation" />															</div>
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				<div class="elementor-widget-container">
									<p>In this first version of MolXplore, scientists will be able to analyse the results of <a href="https://pharmacelera.com/pharmscreen/">PharmScreen</a>, our 3D ligand-based virtual screening software, by loading the results and analysing them according to different options, such as evaluating the similarity of the candidates with respect to the reference molecule, superimposing the molecular fields and the chemical structures, or filtering the compounds according to different physicochemical properties, &#8230;</p>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-8250e23 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="8250e23" data-element_type="section" data-e-type="section">
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					<h2 class="elementor-heading-title elementor-size-default">Many ways to analyze your data</h2>				</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-4840e0a elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="4840e0a" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
									<p>There are many ways to interact with your results in MolXplore:</p><ul><li><strong>Molecular viewer</strong>: Here you can evaluate different properties of your compounds, such as the molecular fields for 7 different properties, different physicochemical descriptors, the 2D representation of the molecule or overlay your compounds on the reference molecule. You will find different ways to represent your compounds, such as line, sticks or ball &amp; stick.</li></ul>								</div>
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															<img loading="lazy" decoding="async" width="295" height="211" src="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Hydrophobic_Fields.png" class="attachment-large size-large wp-image-14416" alt="" srcset="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Hydrophobic_Fields.png 295w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Hydrophobic_Fields-230x165.png 230w" sizes="(max-width: 295px) 100vw, 295px" />															</div>
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="295" height="211" src="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Electrostatic_Fields.png" class="attachment-large size-large wp-image-14417" alt="" srcset="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Electrostatic_Fields.png 295w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Electrostatic_Fields-230x165.png 230w" sizes="(max-width: 295px) 100vw, 295px" />															</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-e8d60ea elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="e8d60ea" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
									<ul><li><strong>Data table</strong>: This feature allows you to select, sort and filter the screened compounds based on various physicochemical properties. The table is synchronized with the molecular viewer to help you to make better decisions when selecting a compound as a candidate. The table also allows you also to group your compounds and download them in a single file.</li></ul>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-53c6db9 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="53c6db9" data-element_type="section" data-e-type="section">
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															<img loading="lazy" decoding="async" width="630" height="130" src="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Table.png" class="attachment-large size-large wp-image-14419" alt="" srcset="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Table.png 630w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Table-300x62.png 300w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Table-230x47.png 230w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Table-350x72.png 350w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Table-480x99.png 480w" sizes="(max-width: 630px) 100vw, 630px" />															</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-8816e3c elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="8816e3c" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
									<ul><li><strong>Property plot</strong>: The plot feature will help you to gain a deeper understanding of your compounds, plotting two different properties at the same time, helping to understand, for example, how your compounds may cluster based on two different selected properties. The plot feature is synchronized with the data table as well as the viewer, completing the list of tools for extracting conclusions from your screening.</li></ul>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-2486a36 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="2486a36" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="523" height="194" src="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Plot.png" class="attachment-large size-large wp-image-14420" alt="Property plot" srcset="https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Plot.png 523w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Plot-300x111.png 300w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Plot-230x85.png 230w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Plot-350x130.png 350w, https://pharmacelera.com/wp-content/uploads/2024/01/MolXplore_Plot-480x178.png 480w" sizes="(max-width: 523px) 100vw, 523px" />															</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-3324182 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="3324182" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
									<p>The GUI is compatible with Linux and Windows, so you can analyze the results from any computer. MolXplore is included in your PharmScreen license. Request your license now!</p>								</div>
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					<h2 class="elementor-heading-title elementor-size-default">Request your license</h2>				</div>
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					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-76a0a47 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="76a0a47" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
					<iframe aria-label='Request a Trial' frameborder="0" style="height:900px;width:99%;border:none;" src='https://forms.zohopublic.com/virtualoffice17604/form/PharmScreenKnimeopinion/formperma/joj6Z1Od6Zg9zs82uQzUBz_HsGJOLWTf4BXle0jfTLg'></iframe>				</div>
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		<p>The post <a href="https://pharmacelera.com/blog/science/molxplore/">New Graphical User Interface: MolXplore</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></content:encoded>
					
		
		
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		<item>
		<title>New Pharmacelera nodes for KNIME</title>
		<link>https://pharmacelera.com/blog/upgrades/new-knime-nodes/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Wed, 13 Dec 2023 13:58:39 +0000</pubDate>
				<category><![CDATA[Science]]></category>
		<category><![CDATA[Upgrades]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[knime]]></category>
		<category><![CDATA[nodes]]></category>
		<category><![CDATA[PharmScreen]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=14377</guid>

					<description><![CDATA[<p>We are pleased to announce a new update of our Pharmacelera KNIME nodes. Access to our tools is enhanced with the update [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/upgrades/new-knime-nodes/">New Pharmacelera nodes for KNIME</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></description>
										<content:encoded><![CDATA[		<div data-elementor-type="wp-post" data-elementor-id="14377" class="elementor elementor-14377" data-elementor-post-type="post">
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					<img decoding="async" src="https://pharmacelera.com/wp-content/uploads/2019/12/Fernando_crop_BW-300x287.jpg" alt="Picture of Fernando Martin" loading="lazy">
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						<h4 class="elementor-author-box__name">
							Fernando Martin						</h4>
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									<div class="elementor-author-box__bio">
						<p>Pre & Post Sales Manager</p>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-47ffe22 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="47ffe22" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-b1377fb elementor-widget elementor-widget-text-editor" data-id="b1377fb" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
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									<p style="text-align: justify;">We are pleased to announce a new update of our Pharmacelera KNIME nodes. Access to our tools is enhanced with the update of our nodes, making them easier to use for scientists who are familiar with <a href="https://www.knime.com/">KNIME</a> and for first-time users. Not only have we adapted our tools to the latest versions of KNIME, but we have also provided them with new functionalities compared to previous versions.</p>								</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-ca58274 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="ca58274" data-element_type="section" data-e-type="section">
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												<figure class="wp-caption">
										<img loading="lazy" decoding="async" width="385" height="82" src="https://pharmacelera.com/wp-content/uploads/2023/12/Picture1.png" class="attachment-large size-large wp-image-14380" alt="New knime nodes" srcset="https://pharmacelera.com/wp-content/uploads/2023/12/Picture1.png 385w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture1-300x64.png 300w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture1-230x49.png 230w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture1-350x75.png 350w" sizes="(max-width: 385px) 100vw, 385px" />											<figcaption class="widget-image-caption wp-caption-text">Three nodes are now available: Library Preparation and Virtual Screening (PharmScreen) and exaScreen nodes.</figcaption>
										</figure>
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					<h2 class="elementor-heading-title elementor-size-default">What's new?</h2>				</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-e39f4bd elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="e39f4bd" data-element_type="section" data-e-type="section">
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									<p>Let&#8217;s take a look at some of the new features:</p><ul><li>The nodes have been configured so they can always <strong>use the latest version</strong> of <a href="https://pharmacelera.com/pharmscreen/">PharmScreen</a> and <a href="https://pharmacelera.com/exascreen/">exaScreen</a>.</li><li><strong>The exaScreen node is now available!</strong> Our latest technology for <a href="https://pharmacelera.com/blog/science/exploring-an-ultra-large-chemical-space/">huge chemical library screening</a> is now available in KNIME, which mean that you can know <strong>mine efficiently billions of compounds</strong>, obtaining a list of <strong>synthesizable</strong> and <strong>purchasable</strong> compounds that can be further analyzed with your preferred cheminformatics workflow.</li></ul>								</div>
				</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-8faff49 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="8faff49" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
												<figure class="wp-caption">
										<img loading="lazy" decoding="async" width="306" height="154" src="https://pharmacelera.com/wp-content/uploads/2023/12/Picture2.png" class="attachment-large size-large wp-image-14381" alt="exascreen workflow" srcset="https://pharmacelera.com/wp-content/uploads/2023/12/Picture2.png 306w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture2-300x151.png 300w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture2-230x116.png 230w" sizes="(max-width: 306px) 100vw, 306px" />											<figcaption class="widget-image-caption wp-caption-text">Workflow for exaScreen execution. A new component has been developed for the experiment configuration.</figcaption>
										</figure>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-9b01c98 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="9b01c98" data-element_type="section" data-e-type="section">
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									<ul><li>The nodes are now <strong>compatible with the Pharmacelera API</strong>. This option allows you to run your calculations in your own computer, no matter if it is running Linux, Windows or Mac.</li><li><strong>Need more computer power?</strong> An additional feature that comes with the Pharmacelera API is the possibility to run your calculations on an external computer (workstation or cluster), adding the possibility to access to HPC resources.</li><li><strong>New design for node configuration</strong>. KNIME is changing its interface to <a href="https://docs.knime.com/2022-06/modern_ui_preview_guide/index.html#introduction">Modern UI</a>. And our nodes too. This new interface allows to group the configuration elements, so you can easily identify the different options of the node.</li></ul>								</div>
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		</section>
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											<a href="https://pharmacelera.com/wp-content/uploads/2023/12/Picture7.png" data-elementor-open-lightbox="yes" data-elementor-lightbox-title="Picture7" data-e-action-hash="#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTQzODcsInVybCI6Imh0dHBzOlwvXC9waGFybWFjZWxlcmEuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8xMlwvUGljdHVyZTcucG5nIn0%3D">
							<img loading="lazy" decoding="async" width="187" height="300" src="https://pharmacelera.com/wp-content/uploads/2023/12/Picture7-187x300.png" class="attachment-medium size-medium wp-image-14387" alt="" srcset="https://pharmacelera.com/wp-content/uploads/2023/12/Picture7-187x300.png 187w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture7-230x370.png 230w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture7-350x563.png 350w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture7.png 380w" sizes="(max-width: 187px) 100vw, 187px" />								</a>
											<figcaption class="widget-image-caption wp-caption-text">Configuration of the Ligand Preparation node.</figcaption>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-1569135 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="1569135" data-element_type="section" data-e-type="section">
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									<ul><li><strong>Compatibility with the latest version of KNIME</strong>: The latest version is 5.2, so we have made our nodes compatible with it. However, we understand that many users may be using 4.7, so we will maintain compatibility with this version, although we encourage migration.</li><li>The nodes are accompanied by <strong>new components that facilitate the configuration</strong> of the input data, like the exaScreen configuration, helping you to load your files and select where to cut your reference molecule.</li></ul>								</div>
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										<img loading="lazy" decoding="async" width="273" height="144" src="https://pharmacelera.com/wp-content/uploads/2023/12/Picture6.png" class="attachment-large size-large wp-image-14386" alt="knime components for exascreen and pharmscreen" srcset="https://pharmacelera.com/wp-content/uploads/2023/12/Picture6.png 273w, https://pharmacelera.com/wp-content/uploads/2023/12/Picture6-230x121.png 230w" sizes="(max-width: 273px) 100vw, 273px" />											<figcaption class="widget-image-caption wp-caption-text">New components to easily configure exaScreen and PharmScreen input information.</figcaption>
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									<ul><li>Third party nodes are evolving constantly, so we have <strong>reviewed our previous workflows and updated them</strong>, including new ones.</li></ul>								</div>
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												<figure class="wp-caption">
											<a href="https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example.png" data-elementor-open-lightbox="yes" data-elementor-lightbox-title="Workflow_example" data-e-action-hash="#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTQzODUsInVybCI6Imh0dHBzOlwvXC9waGFybWFjZWxlcmEuY29tXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDIzXC8xMlwvV29ya2Zsb3dfZXhhbXBsZS5wbmcifQ%3D%3D">
							<img loading="lazy" decoding="async" width="300" height="223" src="https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example-300x223.png" class="attachment-medium size-medium wp-image-14385" alt="" srcset="https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example-300x223.png 300w, https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example-230x171.png 230w, https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example-350x261.png 350w, https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example-480x357.png 480w, https://pharmacelera.com/wp-content/uploads/2023/12/Workflow_example.png 673w" sizes="(max-width: 300px) 100vw, 300px" />								</a>
											<figcaption class="widget-image-caption wp-caption-text">Workflow comparing the results between PharmScreen and RDKit.</figcaption>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-5bce3d2 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="5bce3d2" data-element_type="section" data-e-type="section">
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					<h2 class="elementor-heading-title elementor-size-default">Try them now!</h2>				</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-0db2db2 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="0db2db2" data-element_type="section" data-e-type="section">
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									<p>Want to try the new Pharmacelera nodes? Write us to <a href="mailto:contact@pharmacelera.com">contact@pharmacelera.com</a> or fill in the form and ask for your license!</p>								</div>
				</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-4f137ad elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="4f137ad" data-element_type="section" data-e-type="section">
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					<iframe aria-label='Contact' frameborder="0" style="height:900px;width:99%;border:none;" src='https://forms.zohopublic.com/virtualoffice17604/form/ContactFormnewweb/formperma/40ebW-Fn1rHHBs2V_nE-_nEZX7YpR8BopvPj3FPsjas'></iframe>				</div>
				</div>
					</div>
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					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-3e4db0a elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="3e4db0a" data-element_type="section" data-e-type="section">
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				<div class="elementor-widget-container">
									<p><strong>KNIME</strong> is an open-source platform built to productionize data science from day 1 by a team with a strong scientific background. Today it has a strong user community of 300,000+ across all industries and in over 60 countries.</p>								</div>
				</div>
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		</section>
				</div>
		<p>The post <a href="https://pharmacelera.com/blog/upgrades/new-knime-nodes/">New Pharmacelera nodes for KNIME</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>General Inception and Pharmacelera Partner to Advance Drug Discovery with Exponential Screening Capabilities</title>
		<link>https://pharmacelera.com/blog/news/general-inception-and-pharmacelera-partnership/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Tue, 09 May 2023 14:27:06 +0000</pubDate>
				<category><![CDATA[News]]></category>
		<category><![CDATA[computational chemistry]]></category>
		<category><![CDATA[drug discovery]]></category>
		<category><![CDATA[exascreen]]></category>
		<category><![CDATA[general inception]]></category>
		<category><![CDATA[ultra-large chemical space]]></category>
		<guid isPermaLink="false">https://pharmacelera.com/?p=13927</guid>

					<description><![CDATA[<p>3D quantum-mechanics, molecular descriptors, and artificial intelligence provide unique capabilities in the chemical space to identify and qualify novel hits PALO ALTO, [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/news/general-inception-and-pharmacelera-partnership/">General Inception and Pharmacelera Partner to Advance Drug Discovery with Exponential Screening Capabilities</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></description>
										<content:encoded><![CDATA[		<div data-elementor-type="wp-post" data-elementor-id="13927" class="elementor elementor-13927" data-elementor-post-type="post">
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									<p><strong><em>3D quantum-mechanics, molecular descriptors, and artificial intelligence provide unique capabilities in the chemical space to identify and qualify novel hits</em></strong></p>								</div>
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									<p>PALO ALTO, Calif and BARCELONA, Spain: General Inception (GI), a global company Igniter, and Pharmacelera, a Barcelona-based deep-tech company, announced its partnership to use <a href="https://pharmacelera.com/exascreen/"><strong>exa<span style="color: #e83397;">Screen</span></strong></a>® for novel drug discovery. The platform technology, developed by Pharmacelera, enables exponential screening capabilities of in-silico compound libraries, increasing the exploration of chemical space to identify hits. Traditional technologies can only mine about 10 million diverse molecules versus <strong>exa<span style="color: #e83397;">Screen</span></strong>®’s over 30 billion. The collaboration will focus on the application of <strong>exa<span style="color: #e83397;">Screen</span></strong>®’s state-of-the-art virtual screening technology for General Inception’s therapeutics companies looking for novel, diverse and synthesizable hits. <strong>exa<span style="color: #e83397;">Screen</span></strong>® uses <span style="color: #3366ff;"><a style="color: #3366ff;" href="https://pharmacelera.com/our-science/">accurate 3D Quantum-Mechanics (QM) molecular descriptors</a></span> and Artificial Intelligence (AI) to mine efficiently a humongous chemical space and potentially boost the Intellectual Property (IP) of drug discovery projects.</p><p>“This is a step forward in our aim to retrieve and discover new chemical matter, which is a fundamental pillar in early drug discovery,” said Dr. Venkat Reddy, Chief Scientific Officer of General Inception. “Pharmacelera has already demonstrated that their proprietary technology is able to identify novel yet feasible scaffolds that are totally missed by traditional screening methodologies. We look forward to applying this technology and believe it will provide a meaning benefit to the drug discovery efforts of our companies.”</p><p>“We are very excited to establish this collaboration with General Inception, a fast-growing company Igniter in the United States and Europe,” said Dr. Enric Gibert, Pharmacelera’s CEO. “We appreciate getting in on the ground-floor of collaborations to best leverage the power of <strong>exa<span style="color: #e83397;">Screen</span></strong>®. GI’s business model enables us to reach a diverse group of innovative companies at the start of their journey and collaborate with pharma executives to resolve key challenges in drug discovery.”</p><p> </p><p><u>ABOUT GENERAL INCEPTION</u></p><p>General Inception is pioneering company creation as an Igniter company. General Inception partners with extraordinary scientific founders at the inception of their journey to efficiently translate their groundbreaking innovations into transformational companies that address humanity’s grand challenges. As a business co-founder, GI brings together domain and functional expertise, executive talent, infrastructure and development resources, and capital to ignite, nurture and scale the company journey.</p><p>For more information, please visit <span style="color: #3366ff;"><a style="color: #3366ff;" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.generalinception.com&amp;esheet=52930104&amp;newsitemid=20220929005467&amp;lan=en-US&amp;anchor=www.generalinception.com&amp;index=4&amp;md5=740dc59eb6541e4fbf829bc2d2c32e93">www.generalinception.com</a></span></p><p> </p><p><u>ABOUT PHARMACELERA</u></p><p>Pharmacelera develops advanced computational tools for the discovery of novel hits using accurate Quantum-Mechanics (QM), Artificial Intelligence (AI) and High-Performance Computing (HPC). The company’s products use 3D molecular descriptors to mine an unexplored chemical space and to identify hits uncovered by traditional algorithms. Pharmacelera is a private company founded in 2015 and based in Barcelona, Spain. The company works with several big pharma and biotech organizations across Europe and the United States.</p><p>For more information, please visit <a href="http://www.pharmacelera.com"><span style="color: #3366ff;">www.pharmacelera.com</span></a> and <span style="color: #3366ff;"><a style="color: #3366ff;" href="http://www.pharmacelera.com/exascreen/">www.pharmacelera.com/exascreen/</a></span></p><p> </p><p><u>CONTACTS:</u></p><p><strong>General Inception</strong></p><p>Rebecca Galler &#8211; <span style="color: #3366ff;"><a style="color: #3366ff;" href="mailto:rebecca.galler@generalinception.com">rebecca.galler@generalinception.com</a></span></p><p> </p><p><strong>Pharmacelera</strong></p><p>Rémy Hoffmann &#8211; <span style="color: #3366ff;"><a style="color: #3366ff;" href="mailto:remy.hoffmann@pharmacelera.com">remy.hoffmann@pharmacelera.com</a></span></p>								</div>
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		<p>The post <a href="https://pharmacelera.com/blog/news/general-inception-and-pharmacelera-partnership/">General Inception and Pharmacelera Partner to Advance Drug Discovery with Exponential Screening Capabilities</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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