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The DrugAge database of aging-related drugs.

作者信息

Barardo Diogo, Thornton Daniel, Thoppil Harikrishnan, Walsh Michael, Sharifi Samim, Ferreira Susana, Anžič Andreja, Fernandes Maria, Monteiro Patrick, Grum Tjaša, Cordeiro Rui, De-Souza Evandro Araújo, Budovsky Arie, Araujo Natali, Gruber Jan, Petrascheck Michael, Fraifeld Vadim E, Zhavoronkov Alexander, Moskalev Alexey, de Magalhães João Pedro

机构信息

Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.

Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University), Coimbatore, India.

出版信息

Aging Cell. 2017 Jun;16(3):594-597. doi: 10.1111/acel.12585. Epub 2017 Mar 16.


DOI:10.1111/acel.12585
PMID:28299908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5418190/
Abstract

Aging is a major worldwide medical challenge. Not surprisingly, identifying drugs and compounds that extend lifespan in model organisms is a growing research area. Here, we present DrugAge (http://genomics.senescence.info/drugs/), a curated database of lifespan-extending drugs and compounds. At the time of writing, DrugAge contains 1316 entries featuring 418 different compounds from studies across 27 model organisms, including worms, flies, yeast and mice. Data were manually curated from 324 publications. Using drug-gene interaction data, we also performed a functional enrichment analysis of targets of lifespan-extending drugs. Enriched terms include various functional categories related to glutathione and antioxidant activity, ion transport and metabolic processes. In addition, we found a modest but significant overlap between targets of lifespan-extending drugs and known aging-related genes, suggesting that some but not most aging-related pathways have been targeted pharmacologically in longevity studies. DrugAge is freely available online for the scientific community and will be an important resource for biogerontologists.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a493/5418190/b6db28a026c9/ACEL-16-594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a493/5418190/ef82c428d2af/ACEL-16-594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a493/5418190/b6db28a026c9/ACEL-16-594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a493/5418190/ef82c428d2af/ACEL-16-594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a493/5418190/b6db28a026c9/ACEL-16-594-g002.jpg

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[5]
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[6]
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[7]
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[9]
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[10]
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本文引用的文献

[1]
Developing criteria for evaluation of geroprotectors as a key stage toward translation to the clinic.

Aging Cell. 2016-6

[2]
DGIdb 2.0: mining clinically relevant drug-gene interactions.

Nucleic Acids Res. 2016-1-4

[3]
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Aging (Albany NY). 2015-9

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Nucleic Acids Res. 2013-11-11

[5]
Human Ageing Genomic Resources: integrated databases and tools for the biology and genetics of ageing.

Nucleic Acids Res. 2012-11-27

[6]
Genome-environment interactions that modulate aging: powerful targets for drug discovery.

Pharmacol Rev. 2011-11-16

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