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Aging and computational systems biology
Mooney, Kathleen M. Morgan, Amy Mc Auley, Mark T.
Mooney, Kathleen M.
Morgan, Amy
Mc Auley, Mark T.
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2016-01-29
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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.
Citation
Mooney, K. M., Morgan, A. E., & Mc Auley, M. T. (2016). Aging and computational systems biology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 8(2), 123-139. doi: 10.1002/wsbm.1328
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Wiley
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Wiley Interdisciplinary Reviews: Systems Biology and Medicine
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Article
Language
en
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This is the peer reviewed version of the following article: Mooney, K. M., Morgan, A. E., & Mc Auley, M. T. (2016). Aging and computational systems biology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 8(2), 123-139, which has been published in final form at doi10.1002/wsbm.1328. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
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1939-005X