COmbining molecular dynamics and machine learning to improve protein function recognition

Pacific Symposium on Biocomputing 2008, PSB 2008

Volumn , Issue , 2008, Pages 332-343

  Glazer, Dariya S ^a   Radmer, Randall J ^a   Altman, Russ B ^b  

^a STANFORD UNIVERSITY   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL APPROACH; EXPRESSION PATTERNS; FUNCTION PREDICTION; FUNCTIONAL SITES; MOLECULAR DYNAMICS SIMULATIONS; NOVEL FOLDS; POTENTIAL FUNCTION; PROTEIN DYNAMICS; PROTEIN FUNCTIONS; PROTEIN STRUCTURES; SEQUENCE SIMILARITY; STRUCTURAL GENOMICS; STRUCTURE SIMILARITY; STRUCTURE-BASED;

BINDING SITES; LEARNING SYSTEMS; MOLECULES; PROTEINS;

MOLECULAR DYNAMICS;

CALCIUM; PARVALBUMIN; PROTEIN;

ALGORITHM; AMINO ACID SUBSTITUTION; ARTICLE; ARTIFICIAL INTELLIGENCE; BINDING SITE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; GENETICS; METABOLISM; THERMODYNAMICS;

ALGORITHMS; AMINO ACID SUBSTITUTION; ARTIFICIAL INTELLIGENCE; BINDING SITES; CALCIUM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MODELS, MOLECULAR; PARVALBUMINS; PROTEINS; THERMODYNAMICS;

EID: 40549094379     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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