An online approach for mining collective behaviors from molecular dynamics simulations

Journal of Computational Biology

Volumn 17, Issue 3, 2010, Pages 309-324

  Ramanathan, Arvind ^a   Agarwal, Pratul K ^c   Kurnikova, Maria ^b   Langmead, Christopher J ^a  

^a Carnegie Mellon University ^*  (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

Biochemical networks; Computational molecular biology; Machine learning; Protein folding; Proteins

Indexed keywords

AMINO ACID; BACILLUS AMYLOLIQUEFACIENS RIBONUCLEASE; CYCLOPHILIN A; PROTEIN; RIBONUCLEASE;

BIOLOGY; CHEMISTRY; CONFERENCE PAPER; DATA MINING; HYDROGEN BOND; INTERNET; METHODOLOGY; MOLECULAR DYNAMICS; PLIABILITY; PROTEIN SECONDARY STRUCTURE;

AMINO ACIDS; COMPUTATIONAL BIOLOGY; CYCLOPHILIN A; DATA MINING; HYDROGEN BONDING; INTERNET; MOLECULAR DYNAMICS SIMULATION; PLIABILITY; PROTEIN STRUCTURE, SECONDARY; PROTEINS; RIBONUCLEASES;

EID: 77950854473     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2009.0167     Document Type: Conference Paper

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