Please use this identifier to cite or link to this item: https://doi.org/10.1063/1.1387478
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dc.titleEvolutionary Monte Carlo for protein folding simulations
dc.contributor.authorLiang, F.
dc.contributor.authorWong, W.H.
dc.date.accessioned2014-10-28T05:12:05Z
dc.date.available2014-10-28T05:12:05Z
dc.date.issued2001-08-15
dc.identifier.citationLiang, F., Wong, W.H. (2001-08-15). Evolutionary Monte Carlo for protein folding simulations. Journal of Chemical Physics 115 (7) : 3374-3380. ScholarBank@NUS Repository. https://doi.org/10.1063/1.1387478
dc.identifier.issn00219606
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105137
dc.description.abstractProtein folding was studied using evolutionary Monte Carlo (EMC) method. Simulations were made on simple lattice models and the ground state of proteins was determined. The method was found to be faster than genetic algorithms and capable of finding lower energy states. A method for the use of secondary structures in protein folding was also proposed.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1063/1.1387478
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1063/1.1387478
dc.description.sourcetitleJournal of Chemical Physics
dc.description.volume115
dc.description.issue7
dc.description.page3374-3380
dc.description.codenJCPSA
dc.identifier.isiut000170278200055
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