Learning about protein hydrogen bonding by minimizing contrastive divergence

Proteins: Structure, Function and Genetics

Volumn 66, Issue 3, 2007, Pages 588-599

  Podtelezhnikov, Alexei A ^a   Ghahramarai, Zoubin ^b   Wild, David L ^a,c  

^a KECK GRADUATE INSTITUTE   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Contrastive divergence; Hydrogen bond; Machine learning; Metropolis Monte Carlo

Indexed keywords

BINDING AFFINITY; CONFERENCE PAPER; CONTRASTIVE DIVERGENCE; GEOMETRY; HYDROGEN BOND; MACHINE LEARNING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; PROTEIN FOLDING; PROTEIN STRUCTURE; STATISTICAL ANALYSIS;

AMINO ACIDS; CARBON; DATABASES, PROTEIN; HYDROGEN BONDING; KINETICS; MODELS, BIOLOGICAL; PEPTIDES; PROTEINS; VARIATION (GENETICS);

EID: 33846192439     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.21247     Document Type: Conference Paper

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