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  Identifying Potential Ageing-Modulating Drugs In Silico

Donertas, H. M., Fuentealba, M., Partridge, L., & Thornton, J. M. (2018). Identifying Potential Ageing-Modulating Drugs In Silico. Trends Endocrinol Metab, 30(2), 118-131. doi:10.1016/j.tem.2018.11.005.

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Genre: Zeitschriftenartikel

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https://www.ncbi.nlm.nih.gov/pubmed/30581056 (beliebiger Volltext)
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 Urheber:
Donertas, H. M., Autor
Fuentealba, M., Autor
Partridge, L.1, Autor           
Thornton, J. M., Autor
Affiliations:
1Department Partridge - Biological Mechanisms of Ageing, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_1942287              

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Schlagwörter: Aging/*physiology Animals Humans Life Expectancy Longevity/*physiology *ageing *computational biology *drug repurposing *longevity
 Zusammenfassung: 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.

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 Datum: 2019-022018-12-26
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: 30581056
DOI: 10.1016/j.tem.2018.11.005
ISSN: 1879-3061 (Electronic)1043-2760 (Linking)
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Titel: Trends Endocrinol Metab
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 30 (2) Artikelnummer: - Start- / Endseite: 118 - 131 Identifikator: -