Significance of conformational biases in Monte Carlo simulations of protein folding: Lessons from Metropolis-Hastings approach

Proteins: Structure, Function and Genetics

Volumn 57, Issue 2, 2004, Pages 338-344

  Przytycka, Teresa ^a,b  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Biased sampling; Detailed balance principle; Hierarchical folding; Metropolis Hasting algorithm; Minimalist models; Protein folding

Indexed keywords

ALGORITHM; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; ENERGY; EXPERIMENTAL MODEL; MATHEMATICAL ANALYSIS; METROPOLIS HASTINGS ALGORITHM; MONTE CARLO METHOD; PREDICTION; PRIORITY JOURNAL; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN TERTIARY STRUCTURE;

COMPUTER SIMULATION; MONTE CARLO METHOD; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN STRUCTURE, QUATERNARY; THERMODYNAMICS;

EID: 4544278435     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.20210     Document Type: Article

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