PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure

Journal of Computational Chemistry

Volumn 34, Issue 19, 2013, Pages 1697-1705

  Boomsma, Wouter ^a,b   Frellsen, Jes ^a   Harder, Tim ^a,c   Bottaro, Sandro ^d,e   Johansson, Kristoffer E ^a   Tian, Pengfei ^f   Stovgaard, Kasper ^a   Andreetta, Christian ^a,g   Olsson, Simon ^a   Valentin, Jan B ^a   Antonov, Lubomir D ^a   Christensen, Anders S ^a   Borg, Mikael ^a,h   Jensen, Jan H ^a   Lindorff Larsen, Kresten ^a   Ferkinghoff Borg, Jesper ^e   Hamelryck, Thomas ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b LUND UNIVERSITY   (Sweden)

^c UNIVERSITY OF HAMBURG   (Germany)

^d SISSA   (Italy)

^e TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^f UNIVERSITY OF COPENHAGEN   (Denmark)

^g Uni Research   (Norway)

^h SCIENCE FOR LIFE LABORATORY   (Sweden)

Author keywords

conformational sampling; local moves; Markov chain Monte Carlo simulation; probabilistic models; protein structure

Indexed keywords

CONFORMATIONAL SAMPLINGS; LOCAL MOVES; MARKOV CHAIN MONTE CARLO SIMULATION; PROBABILISTIC MODELS; PROTEIN STRUCTURES;

BAYESIAN NETWORKS; COMPUTER OPERATING SYSTEMS; COMPUTER PROGRAMMING; INFERENCE ENGINES; MONTE CARLO METHODS; SOFTWARE TESTING;

PROTEINS;

PROTEIN;

ARTICLE; BAYES THEOREM; CHEMICAL MODEL; CHEMISTRY; COMPUTER PROGRAM; COMPUTER SIMULATION; MONTE CARLO METHOD; PROBABILITY; PROTEIN CONFORMATION;

BAYES THEOREM; COMPUTER SIMULATION; MARKOV CHAINS; MODELS, CHEMICAL; MONTE CARLO METHOD; PROTEIN CONFORMATION; PROTEINS; SOFTWARE;

EID: 84879115316     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.23292     Document Type: Article

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