Skip to main content

Research Repository

Advanced Search

Modelling the molecular mechanisms of aging

Mc Auley, Mark T.; Guimera, Alvaro Martinez; Hodgson, David; Mcdonald, Neil; Mooney, Kathleen M.; Morgan, Amy E.; Proctor, Carole J.

Modelling the molecular mechanisms of aging Thumbnail


Authors

Alvaro Martinez Guimera

David Hodgson

Neil Mcdonald

Kathleen M. Mooney

Profile image of Amy Morgan

Dr Amy Morgan A.E.Morgan2@salford.ac.uk
Lecturer in Biomedical Science

Carole J. Proctor



Contributors

M.T. McAuley
Other

A.M. Guimera
Other

D. Hodgson
Other

N. McDonald
Other

K.M. Mooney
Other

A.E. Morgan
Other

C.J. Proctor
Other

Abstract

The aging process is driven at the cellular level by random molecular damage that slowly accumulates with age. Although cells possess mechanisms to repair or remove damage, they are not 100% efficient and their efficiency declines with age. There are many molecular mechanisms involved and exogenous factors such as stress also contribute to the aging process. The complexity of the aging process has stimulated the use of computational modelling in order to increase our understanding of the system, test hypotheses and make testable predictions. As many different mechanisms are involved, a wide range of models have been developed. This paper gives an overview of the types of models that have been developed, the range of tools used, modelling standards and discusses many specific examples of models that have been grouped according to the main mechanisms that they address. We conclude by discussing the opportunities and challenges for future modelling in this field.

Citation

Mc Auley, M., Guimera, A., Hodgson, D., Mcdonald, N., Mooney, K., Morgan, A., & Proctor, C. (2017). Modelling the molecular mechanisms of aging. Bioscience Reports, 37(1), https://doi.org/10.1042/BSR20160177

Journal Article Type Article
Online Publication Date Feb 23, 2017
Publication Date Feb 28, 2017
Deposit Date Aug 22, 2024
Publicly Available Date Sep 19, 2024
Journal Bioscience Reports
Print ISSN 0144-8463
Electronic ISSN 1573-4935
Publisher Portland Press
Peer Reviewed Peer Reviewed
Volume 37
Issue 1
DOI https://doi.org/10.1042/BSR20160177

Files





You might also like



Downloadable Citations