title: Aging and computational systems biology.
abstract: Aging research is undergoing a paradigm shift, which has led to new and innovative methods of exploring this complex phenomenon. The systems biology approach endeavors to understand biological systems in a holistic manner, by taking account of intrinsic interactions, while also attempting to account for the impact of external inputs, such as diet. A key technique employed in systems biology is computational modeling, which involves mathematically describing and simulating the dynamics of biological systems. Although a large number of computational models have been developed in recent years, these models have focused on various discrete components of the aging process, and to date no model has succeeded in completely representing the full scope of aging. Combining existing models or developing new models may help to address this need and in so doing could help achieve an improved understanding of the intrinsic mechanisms which underpin aging.
authors.affiliation: Faculty of Health and Social care, Edge Hill University, Lancashire, UK.
authors.forename: Kathleen M
authors.initials: KM
authors.lastname: Mooney
authors.affiliation: Faculty of Science and Engineering, University of Chester, Chester, UK.
authors.forename: Amy E
authors.initials: AE
authors.lastname: Morgan
authors.affiliation: Faculty of Science and Engineering, University of Chester, Chester, UK.
authors.forename: Mark T
authors.initials: MT
authors.lastname: Mc Auley
mesh_terms: D000375:Aging / Q000235:genetics* / Q000378:metabolism*; D000818:Animals; D006801:Humans; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*