Computational systems biology for aging research
Mc Auley, Mark T. Mooney, Kathleen M.
Mc Auley, Mark T.
Mooney, Kathleen M.
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EPub Date
Publication Date
2014-10-09
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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.
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
Karger
Journal
Research Unit
DOI
10.1159/000364928
PubMed ID
25341511
PubMed Central ID
Type
Book chapter
Language
en
Description
This book chapter is not available through ChesterRep.
Series/Report no.
Interdisciplinary Topics in Gerontology and Geriatrics
ISSN
EISSN
1662-3800
ISBN
9783318027297