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Empirical entropic contributions in computational docking: Evaluation in APS reductase complexes

dc.contributor.authorChang, Max W.en_US
dc.contributor.authorBelew, Richard K.en_US
dc.contributor.authorCarroll, Kate S.en_US
dc.contributor.authorOlson, Arthur J.en_US
dc.contributor.authorGoodsell, David S.en_US
dc.date.accessioned2008-07-01T14:08:05Z
dc.date.available2009-08-12T18:32:18Zen_US
dc.date.issued2008-08en_US
dc.identifier.citationChang, Max W.; Belew, Richard K.; Carroll, Kate S.; Olson, Arthur J.; Goodsell, David S. (2008). "Empirical entropic contributions in computational docking: Evaluation in APS reductase complexes." Journal of Computational Chemistry 29(11): 1753-1761. <http://hdl.handle.net/2027.42/60220>en_US
dc.identifier.issn0192-8651en_US
dc.identifier.issn1096-987Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60220
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18351616&dopt=citationen_US
dc.description.abstractThe results from reiterated docking experiments may be used to evaluate an empirical vibrational entropy of binding in ligand–protein complexes. We have tested several methods for evaluating the vibrational contribution to binding of 22 nucleotide analogues to the enzyme APS reductase. These include two cluster size methods that measure the probability of finding a particular conformation, a method that estimates the extent of the local energetic well by looking at the scatter of conformations within clustered results, and an RMSD-based method that uses the overall scatter and clustering of all conformations. We have also directly characterized the local energy landscape by randomly sampling around docked conformations. The simple cluster size method shows the best performance, improving the identification of correct conformations in multiple docking experiments. © 2008 Wiley Periodicals, Inc. J Comput Chem, 2008en_US
dc.format.extent352043 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherChemistryen_US
dc.subject.otherTheoretical, Physical and Computational Chemistryen_US
dc.titleEmpirical entropic contributions in computational docking: Evaluation in APS reductase complexesen_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.affiliationumDepartment of Chemistry and the Life Sciences Institute, University of Michigan at Ann Arbor, Ann Arbor, Michigan 48109en_US
dc.contributor.affiliationotherBioinformatics Program, University of California at San Diego, La Jolla, California 92093en_US
dc.contributor.affiliationotherBioinformatics Program, University of California at San Diego, La Jolla, California 92093 ; Department of Cognitive Science, University of California at San Diego, La Jolla, California 92093en_US
dc.contributor.affiliationotherDepartment of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037en_US
dc.contributor.affiliationotherDepartment of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037 ; Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037en_US
dc.identifier.pmid18351616en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60220/1/20936_ftp.pdf
dc.identifier.doihttp://dx.doi.org/10.1002/jcc.20936en_US
dc.identifier.sourceJournal of Computational Chemistryen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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