Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing

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dc.contributor.authorPande, VSko
dc.contributor.authorBaker, Iko
dc.contributor.authorChapman, Jko
dc.contributor.authorElmer, SPko
dc.contributor.authorKhaliq, Sko
dc.contributor.authorLarson, SMko
dc.contributor.authorRhee, YMko
dc.contributor.authorShirts, MRko
dc.contributor.authorSnow, CDko
dc.contributor.authorSorin, EJko
dc.contributor.authorZagrovic, Bko
dc.date.accessioned2017-08-16T08:56:09Z-
dc.date.available2017-08-16T08:56:09Z-
dc.date.created2017-08-07-
dc.date.created2017-08-07-
dc.date.issued2003-01-
dc.identifier.citationBIOPOLYMERS, v.68, no.1, pp.91 - 109-
dc.identifier.issn0006-3525-
dc.identifier.urihttp://hdl.handle.net/10203/225426-
dc.description.abstractAtomistic simulations of protein folding have the potential to be a great complement to experimental studies, but have been severely limited by the time scales accessible with current computer hardware and algorithms. By employing a worldwide distributed computing network of tens of thousands of PCs and algorithms designed to efficiently utilize this new many-processor, highly heterogeneous, loosely coupled distributed computing paradigm, we have been able to simulate hundreds of microseconds of atomistic molecular dynamics. This has allowed us to directly simulate the folding mechanism and to accurately predict the folding rate of several fast-folding proteins and polymers, including a nonbiological helix, polypeptide alpha-helices, a beta-hairpin, and a three-helix bundle protein from the villin headpiece. Our results demonstrate that one can reach the time scales needed to simulate fast folding using distributed computing, and that potential sets used to describe interatomic interactions are sufficiently accurate to reach the folded state with experimentally validated rates, at least for small proteins. (C) 2002 Wiley Periodicals, Inc.-
dc.languageEnglish-
dc.publisherJOHN WILEY & SONS INC-
dc.subjectMOLECULAR-DYNAMICS SIMULATIONS-
dc.subjectBETA-HAIRPIN FORMATION-
dc.subjectENERGY LANDSCAPE-
dc.subjectNONBIOLOGICAL HELIX-
dc.subjectSECONDARY STRUCTURE-
dc.subjectMOLTEN GLOBULE-
dc.subjectTRANSITION-
dc.subjectPATHWAYS-
dc.subjectMODEL-
dc.subjectKINETICS-
dc.titleAtomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing-
dc.typeArticle-
dc.identifier.wosid000180210000008-
dc.identifier.scopusid2-s2.0-0037235952-
dc.type.rimsART-
dc.citation.volume68-
dc.citation.issue1-
dc.citation.beginningpage91-
dc.citation.endingpage109-
dc.citation.publicationnameBIOPOLYMERS-
dc.identifier.doi10.1002/bip.10219-
dc.contributor.localauthorRhee, YM-
dc.contributor.nonIdAuthorPande, VS-
dc.contributor.nonIdAuthorBaker, I-
dc.contributor.nonIdAuthorChapman, J-
dc.contributor.nonIdAuthorElmer, SP-
dc.contributor.nonIdAuthorKhaliq, S-
dc.contributor.nonIdAuthorLarson, SM-
dc.contributor.nonIdAuthorShirts, MR-
dc.contributor.nonIdAuthorSnow, CD-
dc.contributor.nonIdAuthorSorin, EJ-
dc.contributor.nonIdAuthorZagrovic, B-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthoratomistic protein folding-
dc.subject.keywordAuthormicrosecond time scale-
dc.subject.keywordAuthorcomputer hardware-
dc.subject.keywordAuthorcomputer algorithms-
dc.subject.keywordAuthormolecular dynamics-
dc.subject.keywordAuthordistributed computing-
dc.subject.keywordAuthorvillin-
dc.subject.keywordAuthorbeta hairpin-
dc.subject.keywordPlusMOLECULAR-DYNAMICS SIMULATIONS-
dc.subject.keywordPlusBETA-HAIRPIN FORMATION-
dc.subject.keywordPlusENERGY LANDSCAPE-
dc.subject.keywordPlusNONBIOLOGICAL HELIX-
dc.subject.keywordPlusSECONDARY STRUCTURE-
dc.subject.keywordPlusMOLTEN GLOBULE-
dc.subject.keywordPlusTRANSITION-
dc.subject.keywordPlusPATHWAYS-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusKINETICS-
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