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Structure-based method for analyzing protein–protein interfaces

dc.contributor.authorWang, Renxiaoen_US
dc.contributor.authorGao, Yingen_US
dc.contributor.authorLai, Luhuaen_US
dc.date.accessioned2006-09-11T19:29:41Z
dc.date.available2006-09-11T19:29:41Z
dc.date.issued2004-02en_US
dc.identifier.citationGao, Ying; Wang, Renxiao; Lai, Luhua; (2004). "Structure-based method for analyzing protein–protein interfaces." Journal of Molecular Modeling 10(1): 44-54. <http://hdl.handle.net/2027.42/47876>en_US
dc.identifier.issn1610-2940en_US
dc.identifier.issn0948-5023en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/47876
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=14634848&dopt=citationen_US
dc.description.abstractHydrogen bond, hydrophobic and vdW interactions are the three major non-covalent interactions at protein–protein interfaces. We have developed a method that uses only these properties to describe interactions between proteins, which can qualitatively estimate the individual contribution of each interfacial residue to the binding and gives the results in a graphic display way. This method has been applied to analyze alanine mutation data at protein–protein interfaces. A dataset containing 13 protein–protein complexes with 250 alanine mutations of interfacial residues has been tested. For the 75 hot-spot residues (ΔΔ G ≥1.5 kcal mol -1 ), 66 can be predicted correctly with a success rate of 88%. In order to test the tolerance of this method to conformational changes upon binding, we utilize a set of 26 complexes with one or both of their components available in the unbound form. The difference of key residues exported by the program is 11% between the results using complexed proteins and those from unbound ones. As this method gives the characteristics of the binding partner for a particular protein, in-depth studies on protein–protein recognition can be carried out. Furthermore, this method can be used to compare the difference between protein–protein interactions and look for correlated mutation.en_US
dc.format.extent421642 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherChemistryen_US
dc.subject.otherCorrelated Mutationen_US
dc.subject.otherPP_SITEen_US
dc.subject.otherInterface Analysisen_US
dc.subject.otherHot Spoten_US
dc.subject.otherProtein–Protein Interactionen_US
dc.titleStructure-based method for analyzing protein–protein interfacesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumState Key Laboratory of Structural Chemistry for Stable and Unstable Species, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China; Medical Chemistry and Comprehensive Cancer Center, University of Michigan, 1500 E. Medical Center Drive Ann Arbor, MI 48109-0934, USAen_US
dc.contributor.affiliationotherState Key Laboratory of Structural Chemistry for Stable and Unstable Species, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China; Center for Theoretical Biology, Peking University, 100871, Beijing, Chinaen_US
dc.contributor.affiliationotherState Key Laboratory of Structural Chemistry for Stable and Unstable Species, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, Chinaen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid14634848en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/47876/1/894_2003_Article_168.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00894-003-0168-3en_US
dc.identifier.sourceJournal of Molecular Modelingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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