Computational systems biology for aging research.

Computational systems biology for aging research.
Interdiscip Top Gerontol. 2015;40:35-48
Authors: Mc Auley MT, Mooney KM
Abstract
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. © 2015 S. Karger AG, Basel.
PMID: 25341511 [PubMed - in process]

Source: Interdisciplinary Topics in Gerontology - November 25, 2014 Category: Geriatrics Tags: Interdiscip Top Gerontol Source Type: research