Open AccessA gradient-directed Monte Carlo method for global optimization in a discrete space: Application to protein sequence design and folding
Author(s) -
Xiangqian Hu,
David N. Beratan,
Weitao Yang
Publication year - 2009
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.3236834
Subject(s) - maxima and minima , monte carlo method , hybrid monte carlo , statistical physics , global optimization , sequence (biology) , mathematics , mathematical optimization , inverse , protein folding , discrete space , sequence space , physics , chemistry , markov chain monte carlo , mathematical analysis , geometry , biochemistry , statistics , banach space , nuclear magnetic resonance
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