| Discrete-time stochastic modeling and simulation of biochemical networks. | |
| | |
MedLine Citation:
|
PMID: 18499525 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Since inherent randomness in chemically reacting systems is evident, stochastic modeling and simulation are exceedingly important for investigating complex biological networks. Within the most common stochastic approach a network is modeled by a continuous-time Markov chain governed by the chemical master equation. We show how the continuous-time Markov chain can be converted to a stochastically identical discrete-time Markov chain and obtain a discrete-time version of the chemical master equation. Simulating the discrete-time Markov chain is equivalent to the Gillespie algorithm but requires less effort in that it eliminates the generation of exponential random variables. Thus, exactness as possessed by the Gillespie algorithm is preserved while the simulation can be performed more efficiently. |
| | |
Authors:
|
Werner Sandmann |
Related Documents
:
|
17446275 - Deterministic characterization of stochastic genetic circuits. 17014165 - A variational approach to the stochastic aspects of cellular signal transduction. 23114345 - Optical vortices induced in nonlinear multilevel atomic vapors. 23297895 - Absorption of oblique incidence sound by a finite micro-perforated panel absorber. 18753125 - Organic-inorganic interfaces and spiral growth in nacre. 19104645 - Wavelength-multiplexed distribution of highly entangled photon-pairs over optical fiber. |
Publication Detail:
|
Type: Journal Article Date: 2008-04-10 |
Journal Detail:
|
Title: Computational biology and chemistry Volume: 32 ISSN: 1476-928X ISO Abbreviation: Comput Biol Chem Publication Date: 2008 Aug |
Date Detail:
|
Created Date: 2008-06-30 Completed Date: 2009-02-26 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101157394 Medline TA: Comput Biol Chem Country: England |
Other Details:
|
Languages: eng Pagination: 292-7 Citation Subset: IM |
Affiliation:
|
University of Bamberg, Feldkirchenstr. 21, D-96045, Bamberg, Germany. werner.sandmann@uni-bamberg.de |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms Biochemical Processes* Computational Biology / methods* Computer Simulation* Markov Chains Models, Biological* Stochastic Processes Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Is it time to include screening for neonatal alloimmune thrombocytopenia in the general antenatal he...
Next Document: Acupuncture for tension-type headache: a meta-analysis of randomized, controlled trials.