Systems Biology of Ageing

Chandrasegaran, S; Scanlan, RL; Clark, P; Pease, L; Wordsworth, J; Shanley, DP

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

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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Abstract

© 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.