Please use this identifier to cite or link to this item: https://doi.org/10.1063/1.1387478
Title: Evolutionary Monte Carlo for protein folding simulations
Authors: Liang, F. 
Wong, W.H.
Issue Date: 15-Aug-2001
Citation: Liang, 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
Abstract: Protein 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.
Source Title: Journal of Chemical Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/105137
ISSN: 00219606
DOI: 10.1063/1.1387478
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