Computational Systems Biology for Aging Research

McAuley, Mark; Mooney, KAthleen

Abstract

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

• Online Publication Date: Oct 14, 2014
• Publication Date: Oct 9, 2014
• Deposit Date: Feb 19, 2025
• Publicly Available Date: Feb 27, 2025
• Publisher: Karger Publishers
• Peer Reviewed: Peer Reviewed
• Pages: 35-48
• Series Title: Interdisciplinary Topics in Gerontology and Geriatrics
• Series Number: 40
• Book Title: Aging and Health - A Systems Biology Perspective
• ISBN: 9783318027297
• DOI: https://doi.org/10.1159/isbn.978-3-318-02730-3