Affiliation
University of Chester; Edge Hill UniversityPublication Date
2014-10-09
Metadata
Show full item recordAbstract
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.Citation
Mc Auley, M. T., & Mooney, K. M. (2014). Computational systems biology for aging research. In A. Yashin & S. M. Jazwinski (Eds.), Aging and health - A systems biology perspective, (pp. 35-48). Karger.Publisher
KargerPubMed ID
25341511Type
Book chapterLanguage
enDescription
This book chapter is not available through ChesterRep.Series/Report no.
Interdisciplinary Topics in Gerontology and GeriatricsEISSN
1662-3800ISBN
9783318027297ae974a485f413a2113503eed53cd6c53
10.1159/000364928