Network-based approach to prediction and population-based validation of in silico drug repurposing
Repurposing approved drugs could accelerate treatment options for various diseases. Here, the authors use network proximity of disease gene products and drug targets in the human protein interactome to identify drug-disease associations for cardiovascular disease, and validate these using longitudin...
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Nature Portfolio
2018
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oai:doaj.org-article:264d3bc2952944739e5a0650a3d519eb2021-12-02T17:32:34ZNetwork-based approach to prediction and population-based validation of in silico drug repurposing10.1038/s41467-018-05116-52041-1723https://doaj.org/article/264d3bc2952944739e5a0650a3d519eb2018-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05116-5https://doaj.org/toc/2041-1723Repurposing approved drugs could accelerate treatment options for various diseases. Here, the authors use network proximity of disease gene products and drug targets in the human protein interactome to identify drug-disease associations for cardiovascular disease, and validate these using longitudinal healthcare data.Feixiong ChengRishi J. DesaiDiane E. HandyRuisheng WangSebastian SchneeweissAlbert-László BarabásiJoseph LoscalzoNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018) |
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Science Q |
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Science Q Feixiong Cheng Rishi J. Desai Diane E. Handy Ruisheng Wang Sebastian Schneeweiss Albert-László Barabási Joseph Loscalzo Network-based approach to prediction and population-based validation of in silico drug repurposing |
description |
Repurposing approved drugs could accelerate treatment options for various diseases. Here, the authors use network proximity of disease gene products and drug targets in the human protein interactome to identify drug-disease associations for cardiovascular disease, and validate these using longitudinal healthcare data. |
format |
article |
author |
Feixiong Cheng Rishi J. Desai Diane E. Handy Ruisheng Wang Sebastian Schneeweiss Albert-László Barabási Joseph Loscalzo |
author_facet |
Feixiong Cheng Rishi J. Desai Diane E. Handy Ruisheng Wang Sebastian Schneeweiss Albert-László Barabási Joseph Loscalzo |
author_sort |
Feixiong Cheng |
title |
Network-based approach to prediction and population-based validation of in silico drug repurposing |
title_short |
Network-based approach to prediction and population-based validation of in silico drug repurposing |
title_full |
Network-based approach to prediction and population-based validation of in silico drug repurposing |
title_fullStr |
Network-based approach to prediction and population-based validation of in silico drug repurposing |
title_full_unstemmed |
Network-based approach to prediction and population-based validation of in silico drug repurposing |
title_sort |
network-based approach to prediction and population-based validation of in silico drug repurposing |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/264d3bc2952944739e5a0650a3d519eb |
work_keys_str_mv |
AT feixiongcheng networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing AT rishijdesai networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing AT dianeehandy networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing AT ruishengwang networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing AT sebastianschneeweiss networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing AT albertlaszlobarabasi networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing AT josephloscalzo networkbasedapproachtopredictionandpopulationbasedvalidationofinsilicodrugrepurposing |
_version_ |
1718380234952146944 |