Computational systems biology for aging research

Interdiscip Top Gerontol. 2015:40:35-48. doi: 10.1159/000364928. Epub 2014 Oct 14.

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.

Publication types

  • Review

MeSH terms

  • Aged
  • Aging / physiology*
  • Biomedical Research*
  • Computational Biology*
  • Humans
  • Systems Biology*