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MODELING AND PARAMETER ESTIMATION OF BIOCHEMICAL PATHWAYS

机译:生物化学途径的建模与参数估计

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Since most the exact underlying mechanisms of many biochemical processes are still unknown, people start to probe modeling and simulation methods to describe, understand, and predict those processes, based on some limited amount of experimental data. In this paper, a model based on forward/reverse rates is proposed, and a corresponding parameter estimation method is provided. In this way, when enough equilibrium experimental data of a certain biochemical process is given, a dynamic model can be established, so that the time courses of all the involved substrates can be obtained to explain the experimental data and predict the behavior of the process in other conditions. Meanwhile, a modified version of the proposed parameter method can be used in other models.
机译:由于大多数许多生物化学过程的确切潜在机制仍然不为人知,人们开始探测建模和仿真方法来描述,理解和预测这些过程,基于一些有限的实验数据。本文提出了一种基于前向/反向速率的模型,并提供了相应的参数估计方法。以这种方式,当给出某种生物化学过程的足够平衡实验数据时,可以建立动态模型,从而可以获得所有所涉及的基板的时间课程来解释实验数据并预测过程中的行为其他条件。同时,可以在其他模型中使用所提出的参数方法的修改版本。

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