Title
Adaptive stochastic-deterministic chemical kinetic simulations.
Abstract
Biochemical signaling pathways and genetic circuits often involve very small numbers of key signaling molecules. Computationally expensive stochastic methods are necessary to simulate such chemical situations. Single-molecule chemical events often co-exist with much larger numbers of signaling molecules where mass-action kinetics is a reasonable approximation. Here, we describe an adaptive stochastic method that dynamically chooses between deterministic and stochastic calculations depending on molecular count and propensity of forward reactions. The method is fixed timestep and has first order accuracy. We compare the efficiency of this method with exact stochastic methods.We have implemented an adaptive stochastic-deterministic approximate simulation method for chemical kinetics. With an error margin of 5%, the method solves typical biologically constrained reaction schemes more rapidly than exact stochastic methods for reaction volumes >1-10 micro m(3). We have developed a test suite of reaction cases to test the accuracy of mixed simulation methods.Simulation software used in the paper is freely available from http://www.ncbs.res.in/kinetikit/download.html
Year
DOI
Venue
2004
10.1093/bioinformatics/btg376
Bioinformatics
Keywords
Field
DocType
adaptive stochastic-deterministic chemical kinetic,adaptive stochastic-deterministic approximate simulation,chemical situation,computationally expensive stochastic method,exact stochastic method,single-molecule chemical event,test suite,chemical kinetics,adaptive stochastic method,mixed simulation method,stochastic calculation,genetics,first order,signaling pathway,simulation software,kinetics
Test suite,Simulation software,Computer science,First order,Algorithm,Margin of error,Kinetic energy
Journal
Volume
Issue
ISSN
20
1
1367-4803
Citations 
PageRank 
References 
19
5.70
5
Authors
2
Name
Order
Citations
PageRank
Karan Vasudeva1195.70
Upinder S Bhalla233349.60