2001
DOI: 10.1002/1097-0282(2001)60:2<96::aid-bip1007>3.0.co;2-f
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Generalized-ensemble algorithms for molecular simulations of biopolymers

Abstract: In complex systems with many degrees of freedom such as peptides and proteins, there exists a huge number of local‐minimum‐energy states. Conventional simulations in the canonical ensemble are of little use, because they tend to get trapped in states of these energy local minima. A simulation in generalized ensemble performs a random walk in potential energy space and can overcome this difficulty. From only one simulation run, one can obtain canonical‐ensemble averages of physical quantities as functions of te… Show more

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Cited by 765 publications
(697 citation statements)
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References 138 publications
(306 reference statements)
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“…Adequate sampling of conformational space was insured through the use of the Replica Exchange algorithm. 17,18 REMD was developed as a means to overcome local potential energy barriers. Compiled under AMBER 8, one-dimensional REMD explores a generalized canonical ensemble of N noninteracting replicas that undergo simulation separately but concomitantly at exponentially related temperatures, with exchanges between replicas occurring at a specified time interval.…”
Section: Methodsmentioning
confidence: 99%
“…Adequate sampling of conformational space was insured through the use of the Replica Exchange algorithm. 17,18 REMD was developed as a means to overcome local potential energy barriers. Compiled under AMBER 8, one-dimensional REMD explores a generalized canonical ensemble of N noninteracting replicas that undergo simulation separately but concomitantly at exponentially related temperatures, with exchanges between replicas occurring at a specified time interval.…”
Section: Methodsmentioning
confidence: 99%
“…[20,21] for some examples, and the introduction of STMD [10] was a major step in bridging the gap between MC and MD. Our demonstration that STMD and metadynamics can be made identical should further facilitate technological transfers between both communities.…”
Section: Resultsmentioning
confidence: 99%
“…Elsewhere, various search methods have been tested in lattice models 26,27,28,29 . However, we were interested in comparing zipping and assembly with replica-exchange methods, which are generalized ensemble approaches to reducing barriers and increasing sampling efficiencies 30,31 . We find that Z&A is consistently more efficient than REMC (replica exchange Monte Carlo) by several orders of magnitude ( Figure 9).…”
Section: Zanda Outperforms Replica-exchange Monte Carlo (Remc) In Reachmentioning
confidence: 99%