On the application of good-turing statistics to quantify convergence of biomolecular simulations

Journal of Chemical Information and Modeling

Volumn 54, Issue 1, 2014, Pages 209-217

  Koukos, Panagiotis I ^a   Glykos, Nicholas M ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY ESTIMATION; PROBABILITY;

BIOMOLECULAR SIMULATION; CONFIGURATIONAL SPACES; MOLECULAR CONFIGURATIONS; MOLECULAR DYNAMICS SIMULATIONS; MOLECULAR DYNAMICS TRAJECTORIES; OPEN-SOURCE PROGRAM; PROBABILITY THEORY; PUBLIC REPOSITORIES;

MOLECULAR DYNAMICS;

ALGORITHM; BIOLOGY; CHEMICAL MODEL; COMPUTER PROGRAM; CONFORMATION; MOLECULAR DYNAMICS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SYSTEM ANALYSIS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; MODELS, CHEMICAL; MODELS, STATISTICAL; MOLECULAR CONFORMATION; MOLECULAR DYNAMICS SIMULATION; PROBABILITY THEORY; SOFTWARE;

EID: 84893430393     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci4005817     Document Type: Article

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