COSMOsim3D: 3D-Similarity and Alignment Based on COSMO Polarization Charge Densities
COSMO σ-surfaces resulting from quantum chemical calculations of molecules in a simulated conductor, and their histograms, the so-called σ-profiles, are widely proven to provide a very suitable and almost complete basis for the description of molecular interactions in condensed systems. The COSMOsim...
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Veröffentlicht in: | Journal of chemical information and modeling 2012-08, Vol.52 (8), p.2149-2156 |
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description | COSMO σ-surfaces resulting from quantum chemical calculations of molecules in a simulated conductor, and their histograms, the so-called σ-profiles, are widely proven to provide a very suitable and almost complete basis for the description of molecular interactions in condensed systems. The COSMOsim method therefore introduced a global measure of molecular similarity on the basis of similarity of σ-profiles, but it had the disadvantage of neglecting the 3D distribution of molecular polarities, which is crucially determining all ligand–receptor binding. This disadvantage is now overcome by COSMOsim3D, which is a logical and physically sound extension of the COSMOsim method, which uses local σ-profiles on a spatial grid. This new method is used to measure intermolecular similarities on the basis of the 3D representation of the surface polarization charge densities σ of the target and the probe molecule. The probe molecule is translated and rotated in space in order to maximize the sum of local σ-profile similarities between target and probe. This sum, the COSMOsim3D similarity, is a powerful descriptor of ligand similarity and allows for a good discrimination between bioisosters and random pairs. Validation experiments using about 600 pharmacological activity classes in the MDDR database are given. Furthermore, COSMOsim3D represents a unique and very robust method for a field-based ligand–ligand alignment. |
doi_str_mv | 10.1021/ci300205p |
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The COSMOsim method therefore introduced a global measure of molecular similarity on the basis of similarity of σ-profiles, but it had the disadvantage of neglecting the 3D distribution of molecular polarities, which is crucially determining all ligand–receptor binding. This disadvantage is now overcome by COSMOsim3D, which is a logical and physically sound extension of the COSMOsim method, which uses local σ-profiles on a spatial grid. This new method is used to measure intermolecular similarities on the basis of the 3D representation of the surface polarization charge densities σ of the target and the probe molecule. The probe molecule is translated and rotated in space in order to maximize the sum of local σ-profile similarities between target and probe. This sum, the COSMOsim3D similarity, is a powerful descriptor of ligand similarity and allows for a good discrimination between bioisosters and random pairs. 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Chem. Inf. Model</addtitle><description>COSMO σ-surfaces resulting from quantum chemical calculations of molecules in a simulated conductor, and their histograms, the so-called σ-profiles, are widely proven to provide a very suitable and almost complete basis for the description of molecular interactions in condensed systems. The COSMOsim method therefore introduced a global measure of molecular similarity on the basis of similarity of σ-profiles, but it had the disadvantage of neglecting the 3D distribution of molecular polarities, which is crucially determining all ligand–receptor binding. This disadvantage is now overcome by COSMOsim3D, which is a logical and physically sound extension of the COSMOsim method, which uses local σ-profiles on a spatial grid. This new method is used to measure intermolecular similarities on the basis of the 3D representation of the surface polarization charge densities σ of the target and the probe molecule. The probe molecule is translated and rotated in space in order to maximize the sum of local σ-profile similarities between target and probe. This sum, the COSMOsim3D similarity, is a powerful descriptor of ligand similarity and allows for a good discrimination between bioisosters and random pairs. Validation experiments using about 600 pharmacological activity classes in the MDDR database are given. Furthermore, COSMOsim3D represents a unique and very robust method for a field-based ligand–ligand alignment.</description><subject>Analytical chemistry</subject><subject>Binding sites</subject><subject>Biological and medical sciences</subject><subject>Cell metabolism, cell oxidation</subject><subject>Cell physiology</subject><subject>Databases, Pharmaceutical</subject><subject>Drug Design</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Interactions. Associations</subject><subject>Intermolecular phenomena</subject><subject>Isomerism</subject><subject>Ligands</subject><subject>Models, Molecular</subject><subject>Molecular and cellular biology</subject><subject>Molecular biophysics</subject><subject>Molecular Conformation</subject><subject>Molecules</subject><subject>Pharmacology</subject><subject>Quantum Theory</subject><subject>Reproducibility of Results</subject><subject>Simulation</subject><subject>T cell receptors</subject><issn>1549-9596</issn><issn>1549-960X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0VtLwzAUB_AgipvTB7-AFETwpZpLkza-zc0bTCZsgm8lTU5nRi-zaR_mp7fVzYnkIeHwO0k4f4ROCb4imJJrbRnGFPPVHuoTHkhfCvy2vz1zKXroyLklxoxJQQ9Rj9IIB5LyPpqPprPnqbM5G994bOzPbG4zVdl67anCeMPMLoocitq7VQ6MVxbed4P3UnbqU9W2K72ragHeGApnawvuGB2kKnNwstkH6PX-bj569CfTh6fRcOIrKoLah5BHkAiTCJkC5TqRRGgaggmw0AaTMGTANKeSGqUIMyZMUgqcqEgmOADCBujy595VVX404Oo4t05DlqkCysbFBDPetkspWnr-jy7Lpira33UqFO3irFVnG9UkOZh4VdlcVet4O68WXGyAclplaaUKbd3OiS6ICO-c0u7vS3GXV_ybF_sCzOOB9A</recordid><startdate>20120827</startdate><enddate>20120827</enddate><creator>Thormann, Michael</creator><creator>Klamt, Andreas</creator><creator>Wichmann, Karin</creator><general>American Chemical Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7SC</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20120827</creationdate><title>COSMOsim3D: 3D-Similarity and Alignment Based on COSMO Polarization Charge Densities</title><author>Thormann, Michael ; Klamt, Andreas ; Wichmann, Karin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a264t-e758eb6db69fe25cb916c27ed406cd01773e3c5292daa13dd7bf2e51a89b04e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Analytical chemistry</topic><topic>Binding sites</topic><topic>Biological and medical sciences</topic><topic>Cell metabolism, cell oxidation</topic><topic>Cell physiology</topic><topic>Databases, Pharmaceutical</topic><topic>Drug Design</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Interactions. Associations</topic><topic>Intermolecular phenomena</topic><topic>Isomerism</topic><topic>Ligands</topic><topic>Models, Molecular</topic><topic>Molecular and cellular biology</topic><topic>Molecular biophysics</topic><topic>Molecular Conformation</topic><topic>Molecules</topic><topic>Pharmacology</topic><topic>Quantum Theory</topic><topic>Reproducibility of Results</topic><topic>Simulation</topic><topic>T cell receptors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thormann, Michael</creatorcontrib><creatorcontrib>Klamt, Andreas</creatorcontrib><creatorcontrib>Wichmann, Karin</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Computer and Information Systems Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of chemical information and modeling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thormann, Michael</au><au>Klamt, Andreas</au><au>Wichmann, Karin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COSMOsim3D: 3D-Similarity and Alignment Based on COSMO Polarization Charge Densities</atitle><jtitle>Journal of chemical information and modeling</jtitle><addtitle>J. Chem. Inf. Model</addtitle><date>2012-08-27</date><risdate>2012</risdate><volume>52</volume><issue>8</issue><spage>2149</spage><epage>2156</epage><pages>2149-2156</pages><issn>1549-9596</issn><eissn>1549-960X</eissn><abstract>COSMO σ-surfaces resulting from quantum chemical calculations of molecules in a simulated conductor, and their histograms, the so-called σ-profiles, are widely proven to provide a very suitable and almost complete basis for the description of molecular interactions in condensed systems. The COSMOsim method therefore introduced a global measure of molecular similarity on the basis of similarity of σ-profiles, but it had the disadvantage of neglecting the 3D distribution of molecular polarities, which is crucially determining all ligand–receptor binding. This disadvantage is now overcome by COSMOsim3D, which is a logical and physically sound extension of the COSMOsim method, which uses local σ-profiles on a spatial grid. 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subjects | Analytical chemistry Binding sites Biological and medical sciences Cell metabolism, cell oxidation Cell physiology Databases, Pharmaceutical Drug Design Fundamental and applied biological sciences. Psychology Interactions. Associations Intermolecular phenomena Isomerism Ligands Models, Molecular Molecular and cellular biology Molecular biophysics Molecular Conformation Molecules Pharmacology Quantum Theory Reproducibility of Results Simulation T cell receptors |
title | COSMOsim3D: 3D-Similarity and Alignment Based on COSMO Polarization Charge Densities |
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