Statistical mechanics of protein folding with separable energy functions
dc.contributor.author | Wang, Jianyong | en_US |
dc.contributor.author | Crippen, Gordon M. | en_US |
dc.date.accessioned | 2006-04-19T13:28:46Z | |
dc.date.available | 2006-04-19T13:28:46Z | |
dc.date.issued | 2004-06-15 | en_US |
dc.identifier.citation | Wang, Jianyong; Crippen, Gordon M. (2004)."Statistical mechanics of protein folding with separable energy functions." Biopolymers 74(3): 214-220. <http://hdl.handle.net/2027.42/34330> | en_US |
dc.identifier.issn | 0006-3525 | en_US |
dc.identifier.issn | 1097-0282 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/34330 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15150796&dopt=citation | en_US |
dc.description.abstract | We have initiated an entirely new approach to statistical mechanical models of strongly interacting systems where the configurational parameters and the potential energy function are both constructed so that the canonical partition function can be evaluated analytically. For a simplified model of proteins consisting of a single, fairly short polypeptide chain without cross-links, we can adjust the energy parameters to favor the experimentally determined native state of seven proteins having diverse types of folds. Then 497 test proteins are predicted to have stable native folds, even though they are also structurally diverse, and 480 of them have no significant sequence similarity to any of the training proteins. © 2004 Wiley Periodicals, Inc. Biopolymers, 2004 | en_US |
dc.format.extent | 108563 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Polymer and Materials Science | en_US |
dc.title | Statistical mechanics of protein folding with separable energy functions | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Chemical Engineering | en_US |
dc.subject.hlbsecondlevel | Chemistry | en_US |
dc.subject.hlbsecondlevel | Materials Science and Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065 | en_US |
dc.contributor.affiliationum | College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065 ; College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065 | en_US |
dc.identifier.pmid | 15150796 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/34330/1/20077_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/bip.20077 | en_US |
dc.identifier.source | Biopolymers | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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