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Identifying Potential Ageing-Modulating Drugs In Silico

Dönertaş, HM; Fuentealba, M; Partridge, L; Thornton, JM; (2019) Identifying Potential Ageing-Modulating Drugs In Silico. Trends in Endocrinology and Metabolism , 30 (2) pp. 118-131. 10.1016/j.tem.2018.11.005. (In press). Green open access

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Abstract

Increasing human life expectancy has posed increasing challenges for healthcare systems. As people age, they become more susceptible to chronic diseases, with an increasing burden of multimorbidity, and the associated polypharmacy. Accumulating evidence from work with laboratory animals has shown that ageing is a malleable process that can be ameliorated by genetic and environmental interventions. Drugs that modulate the ageing process may delay or even prevent the incidence of multiple diseases of ageing. To identify novel, anti-ageing drugs, several studies have developed computational drug-repurposing strategies. We review published studies showing the potential of current drugs to modulate ageing. Future studies should integrate current knowledge with multi-omics, health records, and drug safety data to predict drugs that can improve health in late life.

Type: Article
Title: Identifying Potential Ageing-Modulating Drugs In Silico
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tem.2018.11.005
Publisher version: https://doi.org/10.1016/j.tem.2018.11.005
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: ageing, drug repurposing, longevity, computational biology
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10066481
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