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Systems Biology of Ageing

Lookup NU author(s): Sharmilla Chandrasegaran, Rebekah Scanlan, Dr Peter Clark, Dr Louise Pease, Dr James Wordsworth, Dr Daryl Shanley


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© 2023. The Author(s), under exclusive license to Springer Nature Switzerland AG. The ageing process is highly complex involving multiple processes operating at different biological levels. Systems Biology presents an approach using integrative computational and laboratory study that allows us to address such complexity. The approach relies on the computational analysis of knowledge and data to generate predictive models that may be validated with further laboratory experimentation. Our understanding of ageing is such that translational opportunities are within reach and systems biology offers a means to ensure that optimal decisions are made. We present an overview of the methods employed from bioinformatics and computational modelling and describe some of the insights into ageing that have been gained.

Publication metadata

Author(s): Chandrasegaran S, Scanlan RL, Clark P, Pease L, Wordsworth J, Shanley DP

Editor(s): J. Robin Harris and Viktor I. Korolchuk

Publication type: Book Chapter

Publication status: Published

Book Title: Biochemistry and Cell Biology of Ageing: Part III Biomedical Science

Year: 2023

Volume: 102

Pages: 415-424

Print publication date: 06/01/2023

Online publication date: 05/01/2023

Acceptance date: 02/04/2018

Series Title: Subcellular Biochemistry

Publisher: Springer

Place Published: Cham


DOI: 10.1007/978-3-031-21410-3_16

PubMed id: 36600142

Library holdings: Search Newcastle University Library for this item

ISBN: 9783031214097