Diffusion Controlled Reactions, Fluctuation Dominated Kinetics, and Living Cell Biochemistry

Z. Konkoli
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引用次数: 6

Abstract

In recent years considerable portion of the computer science community has focused its attention on understanding living cell biochemistry and efforts to understand such complication reaction environment have spread over wide front, ranging from systems biology approaches, through network analysis (motif identification) towards developing language and simulators for low level biochemical processes. Apart from simulation work, much of the efforts are directed to using mean field equations (equivalent to the equations of classical chemical kinetics) to address various problems (stability, robustness, sensitivity analysis, etc.). Rarely is the use of mean field equations questioned. This review will provide a brief overview of the situations when mean field equations fail and should not be used. These equations can be derived from the theory of diffusion controlled reactions, and emerge when assumption of perfect mixing is used.
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扩散控制反应,波动主导动力学和活细胞生物化学
近年来,计算机科学界的相当一部分将注意力集中在理解活细胞生物化学上,并努力理解这种复杂的反应环境,从系统生物学方法,到网络分析(基序识别),再到开发低级生化过程的语言和模拟器,已经在广泛的前沿。除了模拟工作外,大部分工作都是针对使用平均场方程(相当于经典化学动力学方程)来解决各种问题(稳定性,鲁棒性,敏感性分析等)。平均场方程的使用很少受到质疑。这篇综述将简要概述平均场方程失效和不应使用的情况。这些方程可以由扩散控制反应理论推导出来,并在完全混合假设下出现。
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