Dr Mark McAuley M.McAuley@salford.ac.uk
Lecturer
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.
Authors
Alvaro Martinez Guimera
David Hodgson
Neil Mcdonald
Kathleen M. Mooney
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
Published Version
(1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Computationally Modelling Cholesterol Metabolism and Atherosclerosis
(2023)
Journal Article
Vascular dementia: From pathobiology to emerging perspectives
(2024)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search