Modelling the molecular mechanisms of aging

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

doi:DOI:10.1042/BSR20160177

Modelling the molecular mechanisms of aging

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

Allied Health, Social Work & Wellbeing

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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.

Original language	English
Pages (from-to)	1-20
Journal	Bioscience Reports
Volume	37
Issue number	1
Early online date	17 Jan 2017
DOIs	https://doi.org/DOI:10.1042/BSR20160177
Publication status	E-pub ahead of print - 17 Jan 2017

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DOI:10.1042/BSR20160177

BSR-2016-0177C pdf for Author.pdfAccepted author manuscript, 4.57 MBLicence: CC BY

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title = "Modelling the molecular mechanisms of aging",

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.",

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AU - Mc Auley, Mark T.

AU - Guimera, Alvaro Martinez

AU - Hodgson, David

AU - Mcdonald, Neil

AU - Mooney Proctor, Kathleen M.

AU - Morgan, Amy E

AU - Proctor, Carole J.

PY - 2017/1/17

Y1 - 2017/1/17

N2 - 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.

AB - 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.

U2 - DOI:10.1042/BSR20160177

DO - DOI:10.1042/BSR20160177

M3 - Article (journal)

SN - 0144-8463

VL - 37

SP - 1

EP - 20

JO - Bioscience Reports

JF - Bioscience Reports

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ER -

Modelling the molecular mechanisms of aging

Abstract

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