Network of interacting synthetic molecules in steady state
暂无分享,去创建一个
[1] S. Schnell,et al. Closed Form Solution for Time-dependent Enzyme Kinetics , 1997 .
[2] Guy Pujolle,et al. Introduction to queueing networks , 1987 .
[3] C. Rao,et al. Control, exploitation and tolerance of intracellular noise , 2002, Nature.
[4] Kwang-Hyun Cho,et al. Investigations Into the Analysis and Modeling of the TNFα-Mediated NF-κB-Signaling Pathway , 2003 .
[5] D. Fell. Understanding the Control of Metabolism , 1996 .
[6] D. Gillespie. Approximate accelerated stochastic simulation of chemically reacting systems , 2001 .
[7] Erol Gelenbe. Dealing with software viruses: A biological paradigm , 2007, Inf. Secur. Tech. Rep..
[8] D. Gillespie. A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions , 1976 .
[9] J. Medhi,et al. Stochastic models in queueing theory , 1991 .
[10] Erol Gelenbe,et al. G-networks with resets , 2001, PERV.
[11] E. Gelenbe. G-networks by triggered customer movement , 1993 .
[12] A. Arkin,et al. Stochastic mechanisms in gene expression. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[13] Lee A. Segel,et al. Modeling Dynamic Phenomena in Molecular and Cellular Biology , 1984 .
[14] Luca Cardelli. A Process Algebra Master Equation , 2007 .
[15] E. Gelenbe. Product-form queueing networks with negative and positive customers , 1991 .
[16] G. Fayolle,et al. Stochastic Chemical Kinetics with Energy Parameters , 2011, 1112.4130.
[17] Dan ie l T. Gil lespie. A rigorous derivation of the chemical master equation , 1992 .
[18] Kwang-Hyun Cho,et al. Modeling and simulation of intracellular dynamics: choosing an appropriate framework , 2004, IEEE Transactions on NanoBioscience.
[19] W. Huisinga,et al. Solving the chemical master equation for monomolecular reaction systems analytically , 2006, Journal of mathematical biology.
[20] Erol Gelenbe,et al. Steady-state solution of probabilistic gene regulatory networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.