Efficiency of adaptive temperature-based replica exchange for sampling large-scale protein conformational transitions

dc.citation.doi10.1021/ct400191ben_US
dc.citation.epage2856en_US
dc.citation.issue6en_US
dc.citation.jtitleJournal of Chemical Theory and Computationen_US
dc.citation.spage2849en_US
dc.citation.volume9en_US
dc.contributor.authorZhang, Weihong
dc.contributor.authorChen, Jianhan
dc.contributor.authoreidjianhancen_US
dc.date.accessioned2013-08-22T13:12:59Z
dc.date.available2013-08-22T13:12:59Z
dc.date.issued2013-05-02
dc.date.published2013en_US
dc.description.abstractTemperature‐based replica exchange (RE) is now considered a principal technique for enhanced sampling of protein conformations. It is also recognized that existence of sharp cooperative transitions (such as protein folding/unfolding) can lead to temperature exchange bottlenecks and significantly reduce the sampling efficiency. Here, we revisit two adaptive temperature‐based RE protocols, namely, exchange equalization (EE) and current maximization (CM), that were previously examined using atomistic simulations (Lee and Olson, J. Chem. Physics, 134, 24111 (2011)). Both protocols aim to overcome exchange bottlenecks by adaptively adjusting the simulation temperatures, either to achieve uniform exchange rates (in EE) or to maximize temperature diffusion (CM). By designing a realistic yet computationally tractable coarse‐grained protein model, one can sample many reversible folding/unfolding transitions using conventional constant temperature molecular dynamics (MD), standard REMD, EE‐REMD, and CM‐REMD. This allows rigorous evaluation of the sampling efficiency, by directly comparing the rates of folding/unfolding transitions and convergence of various thermodynamic properties of interest. The results demonstrate that both EE and CM can indeed enhance temperature diffusion compared to standard RE, by ~3‐ and over 10‐fold, respectively. Surprisingly, the rates of reversible folding/unfolding transitions are similar in all three RE protocols. The convergence rates of several key thermodynamic properties, including the folding stability and various 1D and 2D free energy surfaces, are also similar. Therefore, the efficiency of RE protocols does not appear to be limited by temperature diffusion, but by the inherent rates of spontaneous large‐scale conformational re‐arrangements. This is particularly true considering that virtually all RE simulations of proteins in practice involve exchange attempt frequencies (~psˉ¹) that are several orders of magnitude faster than the slowest protein motions (~μsˉ¹). Our results also suggest that the efficiency of RE will not likely be improved by other protocols that aim to accelerate exchange or temperature diffusion. Instead, protocols with some types of guided tempering will likely be necessary to drive faster large‐scale conformational transitions.en_US
dc.identifier.urihttp://hdl.handle.net/2097/16321
dc.language.isoen_USen_US
dc.relation.urihttp://doi.org/10.1021/ct400191ben_US
dc.rightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).en_US
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/?language=en
dc.subjectTemperature‐based replica exchangeen_US
dc.subjectExchange equalizationen_US
dc.subjectCurrent maximizationen_US
dc.subjectSampling of protein conformationsen_US
dc.titleEfficiency of adaptive temperature-based replica exchange for sampling large-scale protein conformational transitionsen_US
dc.typeArticle (author version)en_US

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