Quantitative and logic modelling of molecular and gene networks.
Quantitative and logic modelling of molecular and gene networks.
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DOI：
10.1038/nrg3885
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发表时间：
2015-03
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影响因子：
--
通讯作者：
Le Novère N
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文献类型：
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作者：
Le Novère N
复杂的生物分子系统的行为往往不能归结为它们各个组成部分的基本性质。因此，解释性和预测性数学模型对于充分理解和精确工程化细胞功能是有用的。这些模型的开发和分析需要它们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。定量和逻辑建模是目前用于分子和基因网络建模的主要方法之一。每种方法都有其固有的优点和缺点。最近的发展表明，混合方法将成为合成生物学和虚拟生物体发展的进一步进展所必需的。
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.