A stochastic model to estimate the time taken for protein-ligand docking

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06

Volumn , Issue , 2006, Pages 392-399

  Ghosh, Preetam ^a   Ghosh, Samik ^a   Basu, Kalyan ^a   Das, Sajal K ^a   Daefler, Simon ^b  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^b MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOCOMMUNICATIONS; BIOINFORMATICS; CLUSTER ANALYSIS; COMPUTER SIMULATION; DOCKING; DYNAMICS; INFORMATION SCIENCE; INTELLIGENT CONTROL; LIGANDS; MATHEMATICAL MODELS; MECHANICS; MOLECULAR DYNAMICS; PROBABILITY DISTRIBUTIONS; QUANTUM THEORY; RANDOM PROCESSES; RANDOM VARIABLES; RATE CONSTANTS; SPEED; STOCHASTIC PROGRAMMING;

BINDING MECHANISMS; BIOLOGICAL FUNCTIONS; COLLISION THEORY; COMPUTATIONAL BIOLOGY; COMPUTATIONAL INTELLIGENCE; COMPUTATIONAL SPEED; ENERGY DYNAMICS; ENERGY THRESHOLDS; EVENT BASED SIMULATION; EXECUTION TIME; EXPERIMENTAL DATA; IN-SILICO; MOLECULAR BEHAVIOR; MOLECULAR DYNAMIC SIMULATION; MOLECULAR INTERACTION DATA; NUMERICA L RESULTS; PROTEIN DOCKING; PROTEIN-LIGAND DOCKING; QUANTUM MECHANICS; SIMULATION MODELLING; STRUCTURAL CONFIGURATIONS; SYSTEM LEVELS; TIME DOMAIN OCT;

STOCHASTIC MODELS;

EID: 50249102107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2006.330963     Document Type: Conference Paper

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