Hdl Handle:
http://hdl.handle.net/10034/528565
Title:
Computational systems biology for aging research
Authors:
Mc Auley, Mark T.; Mooney, Kathleen M.
Abstract:
Computational modelling is a key component of systems biology and integrates with the other techniques discussed thus far in this book by utilizing a myriad of data that are being generated to quantitatively represent and simulate biological systems. This chapter will describe what computational modelling involves; the rationale for using it, and the appropriateness of modelling for investigating the aging process. How a model is assembled and the different theoretical frameworks that can be used to build a model are also discussed. In addition, the chapter will describe several models which demonstrate the effectiveness of each computational approach for investigating the constituents of a healthy aging trajectory. Specifically, a number of models will be showcased which focus on the complex age-related disorders associated with unhealthy aging. To conclude, we discuss the future applications of computational systems modelling to aging research.
Affiliation:
University of Chester ; Edge Hill University
Citation:
In A. Yashin, & S. M. Jazwinski (Eds.), Aging and health - A systems biology perspective, 40, (pp. 35-48). Karger, 2015
Publisher:
Karger
Publication Date:
2015
URI:
http://hdl.handle.net/10034/528565
DOI:
10.1159/000364928
PubMed ID:
25341511
Additional Links:
http://www.karger.com/BookSeries/Home/223908; http://www.karger.com/Book/Toc/261901
Type:
Book chapter
Language:
en
Description:
This book chapter is not available through ChesterRep.
Series/Report no.:
Interdisciplinary Topics in Gerontology and Geriatrics
ISSN:
0074-1132
EISSN:
1662-3800
ISBN:
9783318027297; 9783318027303
Appears in Collections:
Chemical Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorMc Auley, Mark T.en
dc.contributor.authorMooney, Kathleen M.en
dc.date.accessioned2015-04-13T09:41:40Zen
dc.date.available2015-04-13T09:41:40Zen
dc.date.issued2015en
dc.identifier.citationIn A. Yashin, & S. M. Jazwinski (Eds.), Aging and health - A systems biology perspective, 40, (pp. 35-48). Karger, 2015en
dc.identifier.isbn9783318027297en
dc.identifier.isbn9783318027303en
dc.identifier.issn0074-1132en
dc.identifier.pmid25341511en
dc.identifier.doi10.1159/000364928en
dc.identifier.urihttp://hdl.handle.net/10034/528565en
dc.descriptionThis book chapter is not available through ChesterRep.en
dc.description.abstractComputational modelling is a key component of systems biology and integrates with the other techniques discussed thus far in this book by utilizing a myriad of data that are being generated to quantitatively represent and simulate biological systems. This chapter will describe what computational modelling involves; the rationale for using it, and the appropriateness of modelling for investigating the aging process. How a model is assembled and the different theoretical frameworks that can be used to build a model are also discussed. In addition, the chapter will describe several models which demonstrate the effectiveness of each computational approach for investigating the constituents of a healthy aging trajectory. Specifically, a number of models will be showcased which focus on the complex age-related disorders associated with unhealthy aging. To conclude, we discuss the future applications of computational systems modelling to aging research.en
dc.language.isoenen
dc.publisherKargeren
dc.relation.ispartofseriesInterdisciplinary Topics in Gerontology and Geriatricsen
dc.relation.urlhttp://www.karger.com/BookSeries/Home/223908en
dc.relation.urlhttp://www.karger.com/Book/Toc/261901en
dc.rightsArchived with thanks to Interdisciplinary topics in gerontologyen
dc.subjectageingen
dc.subjectsystems biologyen
dc.titleComputational systems biology for aging researchen
dc.typeBook chapteren
dc.identifier.eissn1662-3800en
dc.contributor.departmentUniversity of Chester ; Edge Hill Universityen

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