Le Novère Nicolas
Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK.
Nat Rev Genet. 2015 Mar;16(3):146-58. doi: 10.1038/nrg3885. Epub 2015 Feb 3.
Behaviours of complex biomolecular systems are often irreducible to the elementary properties of their individual components. Explanatory and predictive mathematical models are therefore useful for fully understanding and precisely engineering cellular functions. The development and analyses of these models require their adaptation to the problems that need to be solved and the type and amount of available genetic or molecular data. Quantitative and logic modelling are among the main methods currently used to model molecular and gene networks. Each approach comes with inherent advantages and weaknesses. Recent developments show that hybrid approaches will become essential for further progress in synthetic biology and in the development of virtual organisms.
复杂生物分子系统的行为往往无法简化为其单个组件的基本特性。因此，解释性和预测性数学模型对于全面理解和精确设计细胞功能很有用。这些模型的开发和分析需要使其适应需要解决的问题以及可用遗传或分子数据的类型和数量。定量建模和逻辑建模是目前用于对分子和基因网络进行建模的主要方法。每种方法都有其固有的优点和缺点。最近的进展表明，混合方法对于合成生物学和虚拟生物体开发的进一步发展将变得至关重要。
