Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Schug, A | - |
dc.contributor.author | Herges, T | - |
dc.contributor.author | Verma, A | - |
dc.contributor.author | Lee, KH | - |
dc.contributor.author | Wenzel, W | - |
dc.date.accessioned | 2024-01-21T04:01:33Z | - |
dc.date.available | 2024-01-21T04:01:33Z | - |
dc.date.created | 2021-09-02 | - |
dc.date.issued | 2005-12-09 | - |
dc.identifier.issn | 1439-4235 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/135892 | - |
dc.description.abstract | The performances of three different stochastic optimization methods for all-atom protein structure prediction are investigated and compared. We use the recently developed all-atom free-energy force field (PFF01), which was demonstrated to correctly predict the native conformation of several proteins as the global optimum of the free energy surface. The trp-cage protein (PDB-code 1L2Y)is foldedwith stochastic tunneling method, a modified parallel termpering method, and the basin-hopping technique. All the methods correctly identify the native conformation, and their relative efficency is discussed. | - |
dc.language | English | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.subject | PARALLEL TEMPERING METHOD | - |
dc.subject | STRUCTURE PREDICTION | - |
dc.subject | ENERGY LANDSCAPES | - |
dc.subject | GLOBAL OPTIMIZATION | - |
dc.subject | SIMULATIONS | - |
dc.subject | MINIMIZATION | - |
dc.subject | ALGORITHMS | - |
dc.subject | PEPTIDES | - |
dc.subject | POLYPEPTIDES | - |
dc.subject | DYNAMICS | - |
dc.title | Comparison of Stochastic optimization methods for all-atom folding of the Trp-cage protein | - |
dc.type | Article | - |
dc.identifier.doi | 10.1002/cphc.200500213 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | CHEMPHYSCHEM, v.6, no.12, pp.2640 - 2646 | - |
dc.citation.title | CHEMPHYSCHEM | - |
dc.citation.volume | 6 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 2640 | - |
dc.citation.endPage | 2646 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000234002300026 | - |
dc.identifier.scopusid | 2-s2.0-29144432368 | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Physical | - |
dc.relation.journalWebOfScienceCategory | Physics, Atomic, Molecular & Chemical | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Physics | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | PARALLEL TEMPERING METHOD | - |
dc.subject.keywordPlus | STRUCTURE PREDICTION | - |
dc.subject.keywordPlus | ENERGY LANDSCAPES | - |
dc.subject.keywordPlus | GLOBAL OPTIMIZATION | - |
dc.subject.keywordPlus | SIMULATIONS | - |
dc.subject.keywordPlus | MINIMIZATION | - |
dc.subject.keywordPlus | ALGORITHMS | - |
dc.subject.keywordPlus | PEPTIDES | - |
dc.subject.keywordPlus | POLYPEPTIDES | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordAuthor | conformation analysis | - |
dc.subject.keywordAuthor | optimization | - |
dc.subject.keywordAuthor | protein folding | - |
dc.subject.keywordAuthor | protein structures | - |
dc.subject.keywordAuthor | stochastic processes | - |
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