Cohen David, Kuperstein Inna, Barillot Emmanuel, Zinovyev Andrei, Calzone Laurence
Institut Curie, Paris, France.
Methods Mol Biol. 2013;1021:107-25. doi: 10.1007/978-1-62703-450-0_6.
Mathematical models serve to explain complex biological phenomena and provide predictions that can be tested experimentally. They can provide plausible scenarios of a complex biological behavior when intuition is not sufficient anymore. The process from a biological hypothesis to a mathematical model might be challenging for biologists that are not familiar with mathematical modeling. In this chapter we discuss a possible workflow that describes the steps to be taken starting from a biological hypothesis on a biochemical cellular mechanism to the construction of a mathematical model using the appropriate formalism. An important part of this workflow is formalization of biological knowledge, which can be facilitated by existing tools and standards developed by the systems biology community. This chapter aims at introducing modeling to experts in molecular biology that would like to convert their hypotheses into mathematical models.
数学模型有助于解释复杂的生物学现象,并提供可通过实验进行检验的预测。当直觉不再足够时,它们可以提供复杂生物行为的合理情景。对于不熟悉数学建模的生物学家来说,从生物学假设到数学模型的过程可能具有挑战性。在本章中,我们讨论了一种可能的工作流程,该流程描述了从关于生化细胞机制的生物学假设开始,到使用适当形式构建数学模型所应采取的步骤。此工作流程的一个重要部分是生物知识的形式化,系统生物学界开发的现有工具和标准可促进这一点。本章旨在向希望将其假设转化为数学模型的分子生物学专家介绍建模。