Hdl Handle:
http://hdl.handle.net/10034/617853
Title:
Aging and computational systems biology
Authors:
Mooney, Kathleen M.; Morgan, Amy; Mc Auley, Mark T.
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.
Affiliation:
Edgehill University, University of Chester
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
Publisher:
John Wiley & Sons
Journal:
Wiley Interdisciplinary Reviews: Systems Biology and Medicine
Publication Date:
29-Jan-2016
URI:
http://hdl.handle.net/10034/617853
DOI:
10.1002/wsbm.1328
Additional Links:
http://www.ncbi.nlm.nih.gov/pubmed/26825379
Type:
Article
Language:
en
Description:
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
EISSN:
1939-005X
Appears in Collections:
Chemical Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorMooney, Kathleen M.en
dc.contributor.authorMorgan, Amyen
dc.contributor.authorMc Auley, Mark T.en
dc.date.accessioned2016-08-02T18:19:31Z-
dc.date.available2016-08-02T18:19:31Z-
dc.date.issued2016-01-29-
dc.identifier.citationMooney, 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.1328en
dc.identifier.doi10.1002/wsbm.1328-
dc.identifier.urihttp://hdl.handle.net/10034/617853-
dc.descriptionThis 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-Archivingen
dc.description.abstractAging 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.en
dc.language.isoenen
dc.publisherJohn Wiley & Sonsen
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/26825379en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAgeingen
dc.subjectsystems biologyen
dc.titleAging and computational systems biologyen
dc.typeArticleen
dc.identifier.eissn1939-005X-
dc.contributor.departmentEdgehill University, University of Chesteren
dc.identifier.journalWiley Interdisciplinary Reviews: Systems Biology and Medicineen
dc.date.accepted2015-12-29-
or.grant.openaccessYesen
rioxxterms.funderunfundeden
rioxxterms.identifier.projectunfundeden
rioxxterms.versionPen
rioxxterms.licenseref.startdate2017-01-30-
This item is licensed under a Creative Commons License
Creative Commons
All Items in ChesterRep are protected by copyright, with all rights reserved, unless otherwise indicated.