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VRI: 3D QSAR at variable resolution

dc.contributor.authorCrippen, Gordon M.en_US
dc.date.accessioned2006-04-19T13:45:59Z
dc.date.available2006-04-19T13:45:59Z
dc.date.issued1999-11-15en_US
dc.identifier.citationCrippen, Gordon M. (1999)."VRI: 3D QSAR at variable resolution." Journal of Computational Chemistry 20(14): 1577-1585. <http://hdl.handle.net/2027.42/34692>en_US
dc.identifier.issn0192-8651en_US
dc.identifier.issn1096-987Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34692
dc.description.abstractVRI (Variable Resolution Invariants) is a new approach to quantitative structure–activity relations that makes use of three-dimensional features of molecules at different levels of spatial resolution as well as levels of resolution in atomic properties. These descriptors are independent of any numbering of the atoms of a molecule. They are also independent of rigid translation and rotation of a given conformer, which avoids problems with aligning different molecules or docking them with a receptor site model. Steric effects, stereospecificity, substituent effects, lipophilicity, and conformational flexibility are all dealt with in a single, natural formalism. Simple datasets can be fitted using a small number of descriptors corresponding to low-resolution descriptions of the molecules. More complicated data can require additional descriptors that recognize finer details of three-dimensional structure and physico-chemical properties. Overfitting due to the large number of descriptors is handled by partial least-squares analysis with crossvalidation. Performance in fitting and predicting is demonstrated on some simple illustrative cases, and on three standard sets of real data: steroids binding to human corticosteroid binding globulin and testosterone binding globulin, and inhibitors of dihydrofolate reductase. ©1999 John Wiley & Sons, Inc. J Comput Chem 20: 1577–1585, 1999en_US
dc.format.extent201589 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherJohn Wiley & Sons, Inc.en_US
dc.subject.otherChemistryen_US
dc.subject.otherTheoretical, Physical and Computational Chemistryen_US
dc.titleVRI: 3D QSAR at variable resolutionen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbsecondlevelChemistryen_US
dc.subject.hlbsecondlevelMaterials Science and Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumCollege of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109-1065 ; College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109-1065en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34692/1/11_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/(SICI)1096-987X(19991115)20:14<1577::AID-JCC11>3.0.CO;2-Ien_US
dc.identifier.sourceJournal of Computational Chemistryen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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