An efficient and exact stochastic simulation method to analyze rare events in biochemical systems

Journal of Chemical Physics

Volumn 129, Issue 16, 2008, Pages

  Kuwahara, Hiroyuki ^a   Mura, Ivan ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL SYSTEMS; STOCHASTIC CONTROL SYSTEMS; SYSTEMS ENGINEERING;

BIOCHEMICAL SYSTEMS; COMPUTATIONAL PROBLEMS; DIRECT MONTE CARLO SIMULATIONS; IN SILICO; MONTE CARLO SIMULATIONS; NEW APPROACHES; NORMAL BEHAVIORS; ORDERS OF MAGNITUDES; PROBABILITY MEASURES; RARE EVENTS; SPEED-UP; STOCHASTIC SIMULATION METHODS;

MONTE CARLO METHODS;

ENZYME;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMISTRY; KINETICS; METABOLISM; MONTE CARLO METHOD; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; ENZYMES; KINETICS; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; MODELS, CHEMICAL; MONTE CARLO METHOD; STOCHASTIC PROCESSES;

EID: 55349092642     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.2987701     Document Type: Article

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