title: Computational systems biology for aging research.
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.
authors.affiliation: Faculty of Science and Engineering, Thornton Science Park, University of Chester, Chester, UK.
authors.forename: Mark T
authors.initials: MT
authors.lastname: Mc Auley
authors.forename: Kathleen M
authors.initials: KM
authors.lastname: Mooney
mesh_terms: D000368:Aged; D000375:Aging / Q000502:physiology*; D035843:Biomedical Research; D019295:Computational Biology; D006801:Humans; D049490:Systems Biology