Inference of analytical thermodynamic models for biological networks

Chiavazzo E.; Fasano M.; Asinari P.

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Inference of analytical thermodynamic models for biological networks

机译：生物网络分析热力学模型的推论

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We present an automated algorithm for inferring analytical models of closed reactive biochemical mixtures, on the basis of standard approaches borrowed from thermodynamics and kinetic theory of gases. As input, the method requires a number of steady states (i.e. an equilibria cloud in phase-space), and at least one time series of measurements for each species. Validations are discussed for both the Michaelis-Menten mechanism (four species, two conservation laws) and the mitogen-activated protein kinase-MAPK mechanism (eleven species, three conservation laws).

机译：我们基于气体热力学和动力学理论的标准方法，提出了一种自动算法，用于推断封闭的反应生化混合物的分析模型。作为输入，该方法需要多个稳态（即相空间中的平衡云），并且需要对每个物种至少进行一个时间序列的测量。讨论了Michaelis-Menten机制（四种，两个守恒定律）和丝裂原激活的蛋白激酶-MAPK机制（十一种，三个守恒定律）的验证。

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《Physica, A. Statistical mechanics and its applications》 |2013年第5期|共11页
作者
Chiavazzo E.; Fasano M.; Asinari P.;
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正文语种 eng
中图分类物理学;
关键词
Dynamical systems; Kinetic theory; Non-equilibrium thermodynamics;

机译：动力系统;动力学理论;非平衡热力学;

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1. Inference of analytical thermodynamic models for biological networks [J] . Chiavazzo E., Fasano M., Asinari P. Physica, A. Statistical mechanics and its applications . 2013,第5期

机译：生物网络分析热力学模型的推论
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7. Inference of analytical thermodynamic models for biological networks [O] . Eliodoro Chiavazzo, Fasano, Matteo, Asinari, Pietro 2013

机译：生物网络分析热力学模型的推论

Inference of analytical thermodynamic models for biological networks

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