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	<title>computer aided drug design Archives - Pharmacelera | Pushing the limits of computational chemistry</title>
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	<title>computer aided drug design Archives - Pharmacelera | Pushing the limits of computational chemistry</title>
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		<title>Alignment of PIM-1 Inhibitors with PharmScreen</title>
		<link>https://pharmacelera.com/blog/science/alignment-of-pim-1-inhibitors-with-pharmascreen/</link>
		
		<dc:creator><![CDATA[Enric Gibert]]></dc:creator>
		<pubDate>Wed, 06 Dec 2017 11:13:02 +0000</pubDate>
				<category><![CDATA[Science]]></category>
		<category><![CDATA[computational chemistry]]></category>
		<category><![CDATA[computer aided drug design]]></category>
		<category><![CDATA[drug design]]></category>
		<category><![CDATA[drug discovery]]></category>
		<category><![CDATA[PharmScreen]]></category>
		<category><![CDATA[Virtual screening]]></category>
		<guid isPermaLink="false">https://www.pharmacelera.com/?p=3239</guid>

					<description><![CDATA[<p>Pim-1 is an oncogene-encoded serine/threonine kinase. Originally identified in Maloney murine leukaemia, it is involved in several cellular functions associated with survival [&#8230;]</p>
<p>The post <a href="https://pharmacelera.com/blog/science/alignment-of-pim-1-inhibitors-with-pharmascreen/">Alignment of PIM-1 Inhibitors with PharmScreen</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p><a href="http://www.uniprot.org/uniprot/P11309"><b>Pim-1</b></a><span style="font-weight: 400;"> is an <strong>oncogene-encoded </strong></span><strong>serine/threonine kinase</strong><span style="font-weight: 400;"><strong>.</strong> Originally identified in Maloney murine leukaemia, it is involved in several cellular functions associated with </span><b>survival an proliferation</b><span style="font-weight: 400;"> which confers a</span><b> selective advantage during tumorigenesis</b><span style="font-weight: 400;"> [1,2]. Given this implication, it has been used as a cancer drug target [3].</span></p>
<p><a href="http://www.rcsb.org/pdb/ligand/ligandsummary.do?hetId=IYZ&amp;sid=2C3I"><span style="font-weight: 400;"><strong>IYZ</strong></span></a> <span style="font-weight: 400;">and</span><strong><a href="http://www.rcsb.org/pdb/ligand/ligandsummary.do?hetId=LY2&amp;sid=1YI3"> LY2</a></strong><span style="font-weight: 400;"> are two</span><b> bioactive inhibitors</b><span style="font-weight: 400;"> of Pim-1. The </span><b>main described interactions</b><span style="font-weight: 400;"> between the protein and these molecules </span><b>are hydrophobic</b><span style="font-weight: 400;">. This can be appreciated in the reference molecule in the picture below (blue residues: </span><span style="font-weight: 400; color: #333399;">Lys67, Asp186, Val52, Ile185, Leu44, Phe49,  Leu174, Ala65</span><span style="font-weight: 400;">), which also shows one hydrogen bond interaction (orange residue: </span><span style="font-weight: 400; color: #ff9900;">Lys67</span><span style="font-weight: 400;">).   </span></p>
<p><strong>Tools using hyd</strong><b>rophobic parameters </b><span style="font-weight: 400;">derived from solvation models, such as a quantum mechanical (QM) version of the MST continuum method used in</span><a href="https://pharmacelera.com/pharmscreen/"><b> Pharm</b><span style="color: #ff6600;"><b>Screen</b></span></a><b>, </b><span style="font-weight: 400;">favours this type of ligand-target interactions.</span></p>
<p><a href="https://pharmacelera.com/wp-content/uploads/2017/12/Crys-blog-1.gif"><img fetchpriority="high" decoding="async" class="aligncenter wp-image-3258 size-full" src="https://pharmacelera.com/wp-content/uploads/2017/12/Crys-blog-1.gif" alt="" width="640" height="480" /></a></p>
<p><span style="font-weight: 400;">The </span><b>similarity-property principle </b><span style="font-weight: 400;">suggests that analogous compounds will likely share similar biological properties. Indeed, defining the adequate properties that define the biological interactions are fundamental to explore similarity studies. In this case, </span><b>hydrophobicity is an essential interaction </b><span style="font-weight: 400;">to be considered when a ligand-based drug design process is performed.</span></p>
<h3>Alignment</h3>
<p><span style="font-weight: 400;">In order to verify it, <strong>we have aligned IYZ against LY2</strong> using both traditional interaction fields and <a href="https://pharmacelera.com/pharmscreen/"><b>Pharm</b><span style="color: #ff6600;"><b>Screen</b></span></a></span><span style="font-weight: 400;">´s hydrophobic interaction fields and the results have been <strong>compared with the crystal structure</strong>.</span></p>
<p><span style="font-weight: 400;">The picture below shows the<strong> alignment of both approaches</strong> with respect to the <strong>reference molecule in purple</strong>.</span><a href="https://pharmacelera.com/wp-content/uploads/2017/12/merge-1.gif"><img decoding="async" class="wp-image-3259 size-full aligncenter" src="https://pharmacelera.com/wp-content/uploads/2017/12/merge-1.gif" alt="" width="640" height="480" /></a><span style="font-weight: 400;">When comparing this with the crystallized molecule, the alignment performed considering <strong>traditional interaction fields misses the correct pose</strong> of the molecule, while <a href="https://pharmacelera.com/pharmscreen/"><b>Pharm</b><span style="color: #ff6600;"><b>Screen</b></span></a> </span><span style="font-weight: 400;">is </span><span style="font-weight: 400;">able to<strong> find the bioactive overlay using </strong></span><span style="font-weight: 400;"><strong>hydrophobic interaction</strong> fields, as shown in the picture below</span><span style="font-weight: 400;">. </span></p>
<p><a href="https://pharmacelera.com/wp-content/uploads/2017/12/conclusion-blog.gif"><img decoding="async" class="wp-image-3257 size-full aligncenter" src="https://pharmacelera.com/wp-content/uploads/2017/12/conclusion-blog.gif" alt="" width="640" height="480" /></a></p>
<p><span style="font-weight: 400;"> Hence, when <strong>searching for new potential hits</strong> in <strong>ligand-based in-silico approaches</strong>, it is crucial to<strong> use models for molecular alignment and similarity that use hydrophobic properties</strong> in situations in which hydrophobicity dominates the interaction between a ligand and a protein, as the one shown in this example.</span></p>
<p><video controls="controls" width="810" height="766"><source src="https://pharmacelera.com/wp-content/uploads/2017/12/Secuencia-02_4.mp4" type="video/mp4" /></video></p>
<p>&nbsp;</p>
<p><script type="text/javascript" src="https://forms.zohopublic.com/albertosalas/form/Learnmore/jsperma/1_fb5e171EF33j3B56C3KmCg2?height=400px&#038;width=766px"" id="ZFScript"></script></p>
<p><small> [1] C. J. Saris, J. Domen, and A. Berns, “The pim-1 oncogene encodes two related protein-serine/threonine kinases by alternative initiation at AUG and CUG.,” EMBO J., vol. 10, no. 3, pp. 655–64, Mar. 1991.</small></p>
<p>[2] J. J. Gu, Z. Wang, R. Reeves, and N. S. Magnuson, “PIM1 phosphorylates and negatively regulates ASK1-mediated apoptosis.,” Oncogene, vol. 28, no. 48, pp. 4261–71, Dec. 2009.</p>
<p>[3] Y. Tursynbay, J. Zhang, Z. Li, T. Tokay, Z. Zhumadilov, D. Wu, and Y. Xie, “Pim-1 kinase as cancer drug target: An update.,” Biomed. reports, vol. 4, no. 2, pp. 140–146, Feb. 2016.</p>
<p>The post <a href="https://pharmacelera.com/blog/science/alignment-of-pim-1-inhibitors-with-pharmascreen/">Alignment of PIM-1 Inhibitors with PharmScreen</a> appeared first on <a href="https://pharmacelera.com">Pharmacelera | Pushing the limits of computational chemistry</a>.</p>
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