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Multiple equilibria in SSN metabolic module

机译:SSN代谢模块中的多重平衡

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In this paper, a novel modeling framework based on network modularization decomposition is proposed to analyze the multi-stability of metabolic networks. We first decompose a metabolic network into four types of elementary modules according to the special structures of metabolic systems, and then focus on one key type of these modules—the single substrate and single product with no inhibition (SSN) module, by deriving a nonlinear ordinary differential equation (ODE) model based on the Hill kinetics. We show that the injectivity of the vector field of the ODE model is equivalent to the nonsingularity of the Jacobian matrix of this vector field, which enables us equivalently to convert an unverifiable sufficient condition on the absence of multiple equilibria of an SSN module into a verifiable one. Moreover, we prove that this sufficient condition is held when the SSN module has both input and output nodes. Such a theoretical result not only provides a general framework for modeling an SSN metabolic module, but also implies that if a biological system can be exactly modeled by an SSN module, then it cannot admit multiple equilibria (or steady states).
机译:本文提出了一种基于网络模块化分解的新型建模框架,以分析代谢网络的多重稳定性。我们首先根据新陈代谢系统的特殊结构将新陈代谢网络分解为四种类型的基本模块,然后重点研究这些模块的一种关键类型-单一底物和无抑制的单一产品(SSN)模块,方法是推导非线性基于希尔动力学的常微分方程(ODE)模型。我们证明ODE模型的向量场的注入性等于该向量场的Jacobian矩阵的非奇异性,这使我们能够等效地在没有SSN模块的多重均衡的情况下将不可验证的充分条件转换为可验证的一。此外,我们证明了当SSN模块同时具有输入和输出节点时,将保持此充分条件。这样的理论结果不仅为建模SSN代谢模块提供了通用框架,而且还暗示着,如果一个生物系统可以由SSN模块精确地建模,那么它就不能接受多重平衡(或稳态)。

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