衰老研究的计算系统生物学。

Interdisciplinary topics in gerontology Pub Date : 2015-01-01 Epub Date: 2014-10-14 DOI:10.1159/000364928
Mark T Mc Auley, Kathleen M Mooney
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引用次数: 19

摘要

计算建模是系统生物学的一个关键组成部分,并与本书迄今为止讨论的其他技术集成,利用正在生成的无数数据来定量地表示和模拟生物系统。本章将描述计算建模所涉及的内容;使用它的基本原理,以及研究老化过程的模型的适当性。模型是如何组装的,以及不同的理论框架,可以用来建立一个模型也进行了讨论。此外,本章将描述几个模型,这些模型展示了每种计算方法在研究健康衰老轨迹组成部分时的有效性。具体而言,将展示一些模型,重点关注与不健康衰老相关的复杂年龄相关疾病。最后,我们讨论了计算系统建模在老龄化研究中的未来应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational systems biology for aging research.

Computational modelling is a key component of systems biology and integrates with the other techniques discussed thus far in this book by utilizing a myriad of data that are being generated to quantitatively represent and simulate biological systems. This chapter will describe what computational modelling involves; the rationale for using it, and the appropriateness of modelling for investigating the aging process. How a model is assembled and the different theoretical frameworks that can be used to build a model are also discussed. In addition, the chapter will describe several models which demonstrate the effectiveness of each computational approach for investigating the constituents of a healthy aging trajectory. Specifically, a number of models will be showcased which focus on the complex age-related disorders associated with unhealthy aging. To conclude, we discuss the future applications of computational systems modelling to aging research.

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