title: Michaelis-Menten speeds up tau-leaping under a wide range of conditions.
abstract: This paper examines the benefits of Michaelis-Menten model reduction techniques in stochastic tau-leaping simulations. Results show that although the conditions for the validity of the reductions for tau-leaping remain the same as those for the stochastic simulation algorithm (SSA), the reductions result in a substantial speed-up for tau-leaping under a different range of conditions than they do for SSA. The reason of this discrepancy is that the time steps for SSA and for tau-leaping are determined by different properties of system dynamics.
authors.affiliation: Department of Computer Science, University of California, Santa Barbara, Santa Barbara, California 93106, USA. sheng@cs.ucsb.edu
authors.forename: Sheng
authors.initials: S
authors.lastname: Wu
authors.forename: Jin
authors.initials: J
authors.lastname: Fu
authors.forename: Yang
authors.initials: Y
authors.lastname: Cao
authors.forename: Linda
authors.initials: L
authors.lastname: Petzold
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D004330:Drosophila / Q000378:metabolism; D029721:Drosophila Proteins / Q000378:metabolism; D004798:Enzymes / Q000378:metabolism*; D007700:Kinetics; D008954:Models, Biological; D056950:Period Circadian Proteins / Q000378:metabolism; D013269:Stochastic Processes
chemical_list: D029721:Drosophila Proteins; D004798:Enzymes; C539040:PER protein, Drosophila; D056950:Period Circadian Proteins