Using mathematical models to understand metabolism, genes, and disease.
Using mathematical models to understand metabolism, genes, and disease.
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DOI：
10.1186/s12915-015-0189-2
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发表时间：
2015-09-23
期刊：
影响因子：
5.4
通讯作者：
Reed MC
中科院分区：
文献类型：
--
作者：
Nijhout HF;Best JA;Reed MC
数学模型是研究代谢、遗传学和基因-环境相互作用中大量问题的有用工具。基于基础生物学和生物化学的模型是计算机生物实验的平台，可以揭示将一个量的变化与另一个量的变化联系起来的事件因果链。我们讨论了我们如何构建这样的模型，我们如何使用它们来研究稳态机制，基因-环境相互作用和基因型-表型映射，以及它们如何用于精确和个性化的医学。
Mathematical models are a useful tool for investigating a large number of questions in metabolism, genetics, and gene–environment interactions. A model based on the underlying biology and biochemistry is a platform for in silico biological experimentation that can reveal the causal chain of events that connect variation in one quantity to variation in another. We discuss how we construct such models, how we have used them to investigate homeostatic mechanisms, gene–environment interactions, and genotype–phenotype mapping, and how they can be used in precision and personalized medicine.