Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space

Proteins: Structure, Function and Bioinformatics

Volumn 75, Issue 3, 2009, Pages 682-705

  Fromer, Menachem ^a   Yanover, Chen ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b Fred Hutchinson Cancer Research Center   (United States)

Author keywords

Approximate inference; Belief propagation; Combinatorial optimization; Maximum a posteriori estimation; Probabilistic graphical models; Protein design; Protein energetics; Structural sequence space

Indexed keywords

ACCURACY; ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; CALCULATION; CONFORMATIONAL TRANSITION; ENERGY FORCE FIELD; ENERGY TRANSFER; MOLECULAR DYNAMICS; MOLECULAR MODEL; NEAR OPTIMAL SEQUENCE SPACE; PARAMETER; PREDICTION; PRIORITY JOURNAL; PROTEIN DESIGN; PROTEIN ENGINEERING; PROTEIN FOLDING; PROTEIN STABILITY; PROTEIN TERTIARY STRUCTURE; TECHNIQUE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; COMPUTER-AIDED DESIGN; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEIN CONFORMATION; PROTEIN ENGINEERING; PROTEINS; REPRODUCIBILITY OF RESULTS; THERMODYNAMICS;

EID: 63549137183     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.22280     Document Type: Article

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