Stochastic Hybrid System for Chemical Master Equation
Cellular processes at a molecular level are unavoidably stochastic. In particular, gene regulation is an inherently noisy process, from transcriptional control, alternative splicing, translation, diffusion to chemical modification reactions of transcriptional factors, which all involve stochastic fluctuations. Such stochastic noise may not only affect the dynamics of biological systems but also be exploited by living organisms to actively facilitate certain functions. From the evolution viewpoint, noises are also assumed to be used for the cellular and population variability control. Due to very low copy numbers for many species in living cells, the origin of stochasticity can be traced to random transitions among discrete chemical states, which implies that a model of gene regulatory networks should be able to present such discrete nature of small numbers both qualitatively and qualitatively.
Luonan Chen Ruiqi Wang Kazuyuki Aihara
Department of Electrical Engineering and Electronics,Osaka Sangyo University,Osaka,Japan Institute o Institute of Systems Biology,Shanghai University,Shanghai,China Institute of Industrial Science,The University of Tokyo,Tokyo,Japan ERATO Aihara Complexity Modellin
国际会议
The 3rd International Symposium on Optimization and System Biology(第三届最优化与系统生物学国际会议 OSB09)
张家界
英文
475-481
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）