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	<title>GOLD Archives - Pharmacelera | Pushing the limits of computational chemistry</title>
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		<title>Machine Learning partnership to accelerate discovery of novel drugs</title>
		<link>https://pharmacelera.com/blog/partnerships/machine-learning-partnership-to-accelerate-discovery-of-novel-drugs/</link>
		
		<dc:creator><![CDATA[Fernando Martín]]></dc:creator>
		<pubDate>Thu, 27 Jun 2019 14:34:08 +0000</pubDate>
				<category><![CDATA[Partnerships]]></category>
		<category><![CDATA[accelerate drug discovery]]></category>
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		<category><![CDATA[PharmScreen]]></category>
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					<description><![CDATA[<p>CCDC and Pharmacelera combine virtual screening and machine learning expertise to help scientists accelerate drug discovery Barcelona and Cambridge, UK, 26th&#160;June 2019.&#160;The [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/partnerships/machine-learning-partnership-to-accelerate-discovery-of-novel-drugs/">Machine Learning partnership to accelerate discovery of novel drugs</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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<h2 class="wp-block-heading">CCDC and Pharmacelera combine virtual screening and machine learning expertise to help scientists accelerate drug discovery</h2>



<p><strong>Barcelona and Cambridge, UK, 26<sup>th</sup>&nbsp;June 2019.</strong>&nbsp;The Cambridge Crystallographic Data Centre (CCDC) and Pharmacelera have reached an agreement to perform a joint research project to reinforce the results obtained by structure-based in-silico technologies via ligand-based tools.&nbsp;<strong><a href="https://www.ccdc.cam.ac.uk/solutions/csd-discovery/Components/Gold/" target="_blank" rel="noreferrer noopener">GOLD</a></strong>, CCDC’s docking software used to identify small molecules binding a therapeutic target and&nbsp;<strong><a href="https://www.pharmacelera.com/pharmscreen/" target="_blank" rel="noreferrer noopener">PharmScreen®</a></strong>, Pharmacelera’s flagship software, that identifies novel candidates by reference to the properties of known ligands, will be used together to improve the quality of virtual screening campaigns.</p>



<p>“Ligand-based methodologies are complementary to molecular docking studies”,<strong>&nbsp;said Ilenia Giangreco, Head of Discovery at CCDC</strong>. “Virtual Screening campaigns will benefit from taking the best of GOLD and PharmScreen®. The aim is to increase the chances of finding compounds that are active against a specific target and perform subsequent drug discovery steps more efficiently” she added.</p>



<p>“We are very happy to have CCDC, a globally-recognised research organisation, as a strategic partner”&nbsp;<strong>said Enric Gibert, CEO of Pharmacelera</strong>. “PharmScreen® uses unique algorithms that find molecules within unexplored chemical space, thus leading towards enhanced chemical diversity compared to existing ligand-based technologies. We believe that progressing hand-in-hand with CCDC and GOLD&nbsp; will offer an excellent opportunity to obtain scientific relevant results” he added.</p>



<p>&nbsp;For more information visit: <a href="http://www.pharmacelera.com"><strong>www.pharmacelera.com</strong></a> or contact: Enric Gibert at&nbsp;<strong><a href="mailto:contact@pharmacelera.com" target="_blank" rel="noreferrer noopener" aria-label=" (opens in a new tab)">contact@pharmacelera.com</a></strong></p>



<h3 class="wp-block-heading"><strong>About Pharmacelera</strong></h3>



<p>Pharmacelera is a Barcelona-based company that applies Quantum-Mechanics (QM) and Machine Learning (ML) for rational drug design. The company has developed <a href="https://pharmacelera.com/pharmscreen/"><strong>PharmScreen</strong></a>®, a ligand-based virtual screening based on more than 25 years of research at the University of Barcelona, and sells usage licenses and services around this technology to pharmaceutical R+D.</p>



<h3 class="wp-block-heading"><strong>About CCDC</strong></h3>



<p>CCDC are world-leading experts in structural chemistry data, software and knowledge for materials and life science research and application.</p>



<p>They are dedicated to the advancement of chemistry and crystallography for the public benefit.&nbsp; They specialise in the collation, preservation and application of scientific structural data for use in pharmaceutical discovery, materials development and research and education.</p>



<p>CCDC compile and distribute the&nbsp;<strong><a href="https://www.ccdc.cam.ac.uk/solutions/csd-system/components/csd/">Cambridge Structural Database (CSD)</a></strong>, a certified trusted database of fully curated and enhanced organic and metal-organic structures, used by researchers across the globe.</p>



<p>Their cutting-edge software empowers scientists to extract invaluable insights from the vast dataset, informing and accelerating their research &amp; development.&nbsp;</p>
<p>The post <a href="https://pharmacelera.com/blog/partnerships/machine-learning-partnership-to-accelerate-discovery-of-novel-drugs/">Machine Learning partnership to accelerate discovery of novel drugs</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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