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dc.contributor.authorOliveira, Ronaldo J.-
dc.contributor.authorWhitford, Paul C.-
dc.contributor.authorChahine, Jorge-
dc.contributor.authorLeite, Vitor Barbanti Pereira-
dc.contributor.authorWang, Jin-
dc.date.accessioned2014-05-20T14:02:34Z-
dc.date.accessioned2016-10-25T17:09:11Z-
dc.date.available2014-05-20T14:02:34Z-
dc.date.available2016-10-25T17:09:11Z-
dc.date.issued2010-09-01-
dc.identifierhttp://dx.doi.org/10.1016/j.ymeth.2010.04.016-
dc.identifier.citationMethods. San Diego: Academic Press Inc. Elsevier B.V., v. 52, n. 1, p. 91-98, 2010.-
dc.identifier.issn1046-2023-
dc.identifier.urihttp://hdl.handle.net/11449/22056-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/22056-
dc.description.abstractWe developed both analytical and simulation methods to explore the diffusion dynamics in protein folding. We found the diffusion as a quantitative measure of escape from local traps along the protein folding funnel with chosen reaction coordinates has two remarkable effects on kinetics. At a fixed coordinate, local escape time depends on the distribution of barriers around it, therefore the diffusion is often time distributed. on the other hand, the environments (local escape barriers) change along the coordinates, therefore diffusion is coordinate dependent. The effects of time-dependent diffusion on folding can lead to non-exponential kinetics and non-Poisson statistics of folding time distribution. The effects of coordinate dependent diffusion on folding can lead to the change of the kinetic barrier height as well as the position of the corresponding transition state and therefore modify the folding kinetic rates as well as the kinetic routes. Our analytical models for folding are based on a generalized Fokker-Planck diffusion equation with diffusion coefficient both dependent on coordinate and time. Our simulation for folding are based on structure-based folding models with a specific fast folding protein CspTm studied experimentally on diffusion and folding with single molecules. The coordinate and time-dependent diffusion are especially important to be considered in fast folding and single molecule studies, when there is a small or no free energy barrier and kinetics is controlled by diffusion while underlying statistics of kinetics become important. Including the coordinate dependence of diffusion will challenge the transition state theory of protein folding. The classical transition state theory will have to be modified to be consistent. The more detailed folding mechanistic studies involving phi value analysis based on the classical transition state theory will also have to be quantitatively modified. Complex kinetics with multiple time scales may allow us not only to explore the folding kinetics but also probe the local landscape and barrier height distribution with single-molecule experiments. (C) 2010 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipI2CAM International Materials Institute-
dc.description.sponsorshipLANL-
dc.description.sponsorshipNational Science Foundation (NSF) - USA-
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC)-
dc.format.extent91-98-
dc.language.isoeng-
dc.publisherAcademic Press Inc. Elsevier B.V.-
dc.sourceWeb of Science-
dc.subjectPosition dependent diffusionen
dc.subjectTime-dependent diffusionen
dc.subjectTransition stateen
dc.subjectMean first-passage timeen
dc.subjectCold shock proteinen
dc.subjectSingle moleculeen
dc.subjectMolecular dynamics simulationsen
dc.titleCoordinate and time-dependent diffusion dynamics in protein foldingen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionLos Alamos National Laboratory-
dc.contributor.institutionUniversity of California at Davis-
dc.contributor.institutionState University of New York at Stony Brook-
dc.contributor.institutionChinese Academy of Sciences (CAS)-
dc.description.affiliationSUNY Stony Brook, Dept Chem, Stony Brook, NY 11794 USA-
dc.description.affiliationSUNY Stony Brook, Dept Phys, Stony Brook, NY 11794 USA-
dc.description.affiliationUniv Estadual Paulista, Dept Fis, Inst Biociencias Letras & Ciencias Exatas, BR-15054000 Sao Jose do Rio Preto, Brazil-
dc.description.affiliationLos Alamos Natl Lab, Div Theoret, Theoret Biol & Biophys Grp, Los Alamos, NM 87545 USA-
dc.description.affiliationUniv Calif Davis, Int Inst Complex Adapt Matter, Davis, CA 95616 USA-
dc.description.affiliationChinese Acad Sci, Changchun Inst Appl Chem, State Key Lab Electroanalyt Chem, Changchun 130021, Jilin, Peoples R China-
dc.description.affiliationUnespUniv Estadual Paulista, Dept Fis, Inst Biociencias Letras & Ciencias Exatas, BR-15054000 Sao Jose do Rio Preto, Brazil-
dc.description.sponsorshipIdNSF: PHY-0822283-
dc.description.sponsorshipIdNSF: MCB-0543906-
dc.description.sponsorshipIdUS NSF I2CAM IMI: DMR-0645461-
dc.identifier.doi10.1016/j.ymeth.2010.04.016-
dc.identifier.wosWOS:000281941300010-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofMethods-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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