Computational Systems Biology for Aging Research

Mark T Mc Auley, Kathleen M Mooney

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Citations (Scopus)

Abstract

Computational modelling is a key component of systems biology and integrates with the other tech- niques discussed thus far in this book by utilizing a myriad of data that are being generated to quan- titatively 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.
Original languageEnglish
Title of host publicationAging and Health – A Systems Biology Perspective.
EditorsAnatoli I Yashin Jazwinski, S Michal Jazwinsk
Place of PublicationBasel
PublisherKarger
Pages35-48
Number of pages14
Volume40
ISBN (Print)978-3-318-02729-7
DOIs
Publication statusPublished - 9 Oct 2014

Publication series

NameInterdisciplinary Topics in Gerontology and Geriatrics

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    Mc Auley, M. T., & Mooney, K. M. (2014). Computational Systems Biology for Aging Research. In A. I. Yashin Jazwinski, & S. M. Jazwinsk (Eds.), Aging and Health – A Systems Biology Perspective. (Vol. 40, pp. 35-48). (Interdisciplinary Topics in Gerontology and Geriatrics). Karger. https://doi.org/DOI: 10.1159/000364928)