Modeling the Octanol−Water Partition Coefficients by an Optimized Molecular Connectivity Index
A procedure that makes it possible to generate a coherent model for prediction of the octanol−water partition coefficient within the molecular connectivity formalism was put forward. The method is based on the optimization of weights for corresponding skeletal atoms and is similar to the method for...
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Veröffentlicht in: | Journal of chemical information and modeling 2005-07, Vol.45 (4), p.930-938 |
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creator | Soskic, Milan Plavsic, Dejan |
description | A procedure that makes it possible to generate a coherent model for prediction of the octanol−water partition coefficient within the molecular connectivity formalism was put forward. The method is based on the optimization of weights for corresponding skeletal atoms and is similar to the method for calculation of a variable connectivity index proposed by Randić. In contrast to Randić’s method, we incorporate in the algorithm the possibility that the contribution of a term describing a carbon−heteroatom bond may be negative. When tested on a set of about 300 structurally diverse organic molecules, our procedure proved to be superior to the standard valence connectivity method. External validation on a smaller set of compounds confirmed the superiority of our procedure with respect to the standard one. Intramolecular interactions, which are operative in more complex compounds, are treated in a similar fashion to that in the Hansch−Leo or Rekker methods, by inclusion of empirical correction factors. |
doi_str_mv | 10.1021/ci050024v |
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The method is based on the optimization of weights for corresponding skeletal atoms and is similar to the method for calculation of a variable connectivity index proposed by Randić. In contrast to Randić’s method, we incorporate in the algorithm the possibility that the contribution of a term describing a carbon−heteroatom bond may be negative. When tested on a set of about 300 structurally diverse organic molecules, our procedure proved to be superior to the standard valence connectivity method. External validation on a smaller set of compounds confirmed the superiority of our procedure with respect to the standard one. 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Chem. Inf. Model</addtitle><description>A procedure that makes it possible to generate a coherent model for prediction of the octanol−water partition coefficient within the molecular connectivity formalism was put forward. The method is based on the optimization of weights for corresponding skeletal atoms and is similar to the method for calculation of a variable connectivity index proposed by Randić. In contrast to Randić’s method, we incorporate in the algorithm the possibility that the contribution of a term describing a carbon−heteroatom bond may be negative. When tested on a set of about 300 structurally diverse organic molecules, our procedure proved to be superior to the standard valence connectivity method. External validation on a smaller set of compounds confirmed the superiority of our procedure with respect to the standard one. Intramolecular interactions, which are operative in more complex compounds, are treated in a similar fashion to that in the Hansch−Leo or Rekker methods, by inclusion of empirical correction factors.</description><subject>Algorithms</subject><subject>Analytical chemistry</subject><subject>Comparative analysis</subject><subject>Models, Chemical</subject><subject>Octanols - chemistry</subject><subject>Optimization</subject><subject>Solubility</subject><subject>Water - chemistry</subject><issn>1549-9596</issn><issn>1549-960X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0NtuFCEYB3BiNPagF76AISY28WKUgYVhLs16atJ2m1gP8QYZ-FDqLKzANF2fwGsf0SeRZtc20SsI_PId_gg9aMnTltD2mfGEE0JnF7fQbstnfdML8vH23zvvxQ7ay_mcEMZ6Qe-inVaQGaey20Wfj6OF0YcvuHwFvDBFhzj-_vnrgy6Q8KlOxRcfA55HcM4bD6FkPKyxDnixKn7pf4DFx3EEM406VRYCmOIvfFnjw2Dh8h664_SY4f723EfvXr08m79pjhavD-fPjxrNOlkasIxrzg11HIA5KY0kTEjatc52xhI9DGKwvXa6d1ZaAj2A5ro-Mj3rqt1HB5u6qxS_T5CLWvpsYBx1gDhlJSSRtK5d4aN_4HmcUqizKdoKyrgQsqInG2RSzDmBU6vklzqtVUvUVebqOvNqH24LTsMS7I3chlxBswE-F7i8_tfpmxId67g6O32r2IsT-om-P1FX_vHGa5Nvhvu_8R_pUpnj</recordid><startdate>20050701</startdate><enddate>20050701</enddate><creator>Soskic, Milan</creator><creator>Plavsic, Dejan</creator><general>American Chemical Society</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</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>20050701</creationdate><title>Modeling the Octanol−Water Partition Coefficients by an Optimized Molecular Connectivity Index</title><author>Soskic, Milan ; Plavsic, Dejan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a378t-ed35a55c2f5ee3f88c80368271fd7cd0abb6bd9afa9fd8d0e9eea5ab6b3a47803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithms</topic><topic>Analytical chemistry</topic><topic>Comparative analysis</topic><topic>Models, Chemical</topic><topic>Octanols - chemistry</topic><topic>Optimization</topic><topic>Solubility</topic><topic>Water - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soskic, Milan</creatorcontrib><creatorcontrib>Plavsic, Dejan</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</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>Soskic, Milan</au><au>Plavsic, Dejan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling the Octanol−Water Partition Coefficients by an Optimized Molecular Connectivity Index</atitle><jtitle>Journal of chemical information and modeling</jtitle><addtitle>J. Chem. Inf. Model</addtitle><date>2005-07-01</date><risdate>2005</risdate><volume>45</volume><issue>4</issue><spage>930</spage><epage>938</epage><pages>930-938</pages><issn>1549-9596</issn><eissn>1549-960X</eissn><abstract>A procedure that makes it possible to generate a coherent model for prediction of the octanol−water partition coefficient within the molecular connectivity formalism was put forward. The method is based on the optimization of weights for corresponding skeletal atoms and is similar to the method for calculation of a variable connectivity index proposed by Randić. In contrast to Randić’s method, we incorporate in the algorithm the possibility that the contribution of a term describing a carbon−heteroatom bond may be negative. When tested on a set of about 300 structurally diverse organic molecules, our procedure proved to be superior to the standard valence connectivity method. 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subjects | Algorithms Analytical chemistry Comparative analysis Models, Chemical Octanols - chemistry Optimization Solubility Water - chemistry |
title | Modeling the Octanol−Water Partition Coefficients by an Optimized Molecular Connectivity Index |
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