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.
|Title of host publication||Aging and Health – A Systems Biology Perspective.|
|Editors||Anatoli I Yashin Jazwinski, S Michal Jazwinsk|
|Place of Publication||Basel|
|Number of pages||14|
|Publication status||Published - 9 Oct 2014|
|Name||Interdisciplinary Topics in Gerontology and Geriatrics|
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)