Identifying Potential Ageing-Modulating Drugs In Silico.

Dönertas, Handan Melike; Fuentealba, Matías; Partridge, Linda; Thornton, Janet M

Dönertas, Handan Melike; Fuentealba, Matías; Partridge, Linda; Thornton, Janet M.

Afiliación

Dönertas HM; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK; These authors contributed equally to this work.
Fuentealba M; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK; Institute of Healthy Aging, Department of Genetics, Evolution and Environment, University College London, London, UK; These authors contributed equally to this work.
Partridge L; Institute of Healthy Aging, Department of Genetics, Evolution and Environment, University College London, London, UK; Max Planck Institute for Biology of Aging, Cologne, Germany.
Thornton JM; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK. Electronic address: thornton@ebi.ac.uk.

Trends Endocrinol Metab ; 30(2): 118-131, 2019 02.

Article en En | MEDLINE | ID: mdl-30581056

Asunto(s)

Envejecimiento/fisiología; Longevidad/fisiología; Animales; Humanos; Esperanza de Vida

Palabras clave

ageing; computational biology; drug repurposing; longevity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Longevidad Aspecto: Patient_preference Límite: Animals / Humans Idioma: En Revista: Trends Endocrinol Metab Asunto de la revista: ENDOCRINOLOGIA / METABOLISMO Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

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