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Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model

机译:使用简化的二变量模型对多步反应生化系统进行随机建模

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Background A fundamental issue in systems biology is how to design simplified mathematical models for describing the dynamics of complex biochemical reaction systems. Among them, a key question is how to use simplified reactions to describe the chemical events of multi-step reactions that are ubiquitous in biochemistry and biophysics. To address this issue, a widely used approach in literature is to use one-step reaction to represent the multi-step chemical events. In recent years, a number of modelling methods have been designed to improve the accuracy of the one-step reaction method, including the use of reactions with time delay. However, our recent research results suggested that there are still deviations between the dynamics of delayed reactions and that of the multi-step reactions. Therefore, more sophisticated modelling methods are needed to accurately describe the complex biological systems in an efficient way.
机译:背景技术系统生物学中的一个基本问题是如何设计简化的数学模型来描述复杂的生化反应系统的动力学。其中一个关键问题是如何使用简化的反应来描述生物化学和生物物理学中普遍存在的多步反应的化学事件。为了解决这个问题,文献中广泛使用的方法是使用一步反应来代表多步化学事件。近年来,已经设计了许多建模方法来提高单步反应方法的准确性,包括使用具有时间延迟的反应。但是,我们最近的研究结果表明,延迟反应动力学和多步反应动力学之间仍然存在偏差。因此,需要更复杂的建模方法来有效地准确描述复杂的生物系统。

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