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Statistical mechanics of protein folding by cluster distance geometry

dc.contributor.authorCrippen, Gordon M.en_US
dc.date.accessioned2006-04-19T13:29:26Z
dc.date.available2006-04-19T13:29:26Z
dc.date.issued2004-10-15en_US
dc.identifier.citationCrippen, Gordon M. (2004)."Statistical mechanics of protein folding by cluster distance geometry." Biopolymers 75(3): 278-289. <http://hdl.handle.net/2027.42/34331>en_US
dc.identifier.issn0006-3525en_US
dc.identifier.issn1097-0282en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34331
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15378485&dopt=citationen_US
dc.description.abstractThis is our second type of model for protein folding where the configurational parameters and the effective potential energy function are chosen in such a way that all conformations are described and the canonical partition function can be evaluated analytically. Structure is described in terms of distances between pairs of sequentially contiguous blocks of eight residues, and all possible conformations are grouped into 71 subsets in terms of bounds on these distances. The energy is taken to be a sum of pairwise interactions between such blocks. The 210 energy parameters were adjusted so that the native folds of 32 small proteins are favored in free energy over the denatured state. We then found 146 proteins having negligible sequence similarity to any of the training proteins, yet the free energy of the respective correct native states were favored over the denatured state. © 2004 Wiley Periodicals, Inc. Biopolymers, 2004en_US
dc.format.extent173112 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherChemistryen_US
dc.subject.otherPolymer and Materials Scienceen_US
dc.titleStatistical mechanics of protein folding by cluster distance geometryen_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, MI 48109-1065 ; College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065en_US
dc.identifier.pmid15378485en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34331/1/20118_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/bip.20118en_US
dc.identifier.sourceBiopolymersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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