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The COVID-19 Drug and Gene Set Library

In a short period, many research publications that report sets of experimentally validated drugs as potential COVID-19 therapies have emerged. To organize this accumulating knowledge, we developed the COVID-19 Drug and Gene Set Library (https://amp.pharm.mssm.edu/covid19/), a collection of drug and...

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Autores principales: Kuleshov, Maxim V., Stein, Daniel J., Clarke, Daniel J.B., Kropiwnicki, Eryk, Jagodnik, Kathleen M., Bartal, Alon, Evangelista, John E., Hom, Jason, Cheng, Minxuan, Bailey, Allison, Zhou, Abigail, Ferguson, Laura B., Lachmann, Alexander, Ma'ayan, Avi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381899/
https://www.ncbi.nlm.nih.gov/pubmed/32838343
http://dx.doi.org/10.1016/j.patter.2020.100090
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author Kuleshov, Maxim V.
Stein, Daniel J.
Clarke, Daniel J.B.
Kropiwnicki, Eryk
Jagodnik, Kathleen M.
Bartal, Alon
Evangelista, John E.
Hom, Jason
Cheng, Minxuan
Bailey, Allison
Zhou, Abigail
Ferguson, Laura B.
Lachmann, Alexander
Ma'ayan, Avi
author_facet Kuleshov, Maxim V.
Stein, Daniel J.
Clarke, Daniel J.B.
Kropiwnicki, Eryk
Jagodnik, Kathleen M.
Bartal, Alon
Evangelista, John E.
Hom, Jason
Cheng, Minxuan
Bailey, Allison
Zhou, Abigail
Ferguson, Laura B.
Lachmann, Alexander
Ma'ayan, Avi
author_sort Kuleshov, Maxim V.
collection PubMed
description In a short period, many research publications that report sets of experimentally validated drugs as potential COVID-19 therapies have emerged. To organize this accumulating knowledge, we developed the COVID-19 Drug and Gene Set Library (https://amp.pharm.mssm.edu/covid19/), a collection of drug and gene sets related to COVID-19 research from multiple sources. The platform enables users to view, download, analyze, visualize, and contribute drug and gene sets related to COVID-19 research. To evaluate the content of the library, we compared the results from six in vitro drug screens for COVID-19 repurposing candidates. Surprisingly, we observe low overlap across screens while highlighting overlapping candidates that should receive more attention as potential therapeutics for COVID-19. Overall, the COVID-19 Drug and Gene Set Library can be used to identify community consensus, make researchers and clinicians aware of new potential therapies, enable machine-learning applications, and facilitate the research community to work together toward a cure.
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spelling pubmed-73818992020-07-28 The COVID-19 Drug and Gene Set Library Kuleshov, Maxim V. Stein, Daniel J. Clarke, Daniel J.B. Kropiwnicki, Eryk Jagodnik, Kathleen M. Bartal, Alon Evangelista, John E. Hom, Jason Cheng, Minxuan Bailey, Allison Zhou, Abigail Ferguson, Laura B. Lachmann, Alexander Ma'ayan, Avi Patterns (N Y) Article In a short period, many research publications that report sets of experimentally validated drugs as potential COVID-19 therapies have emerged. To organize this accumulating knowledge, we developed the COVID-19 Drug and Gene Set Library (https://amp.pharm.mssm.edu/covid19/), a collection of drug and gene sets related to COVID-19 research from multiple sources. The platform enables users to view, download, analyze, visualize, and contribute drug and gene sets related to COVID-19 research. To evaluate the content of the library, we compared the results from six in vitro drug screens for COVID-19 repurposing candidates. Surprisingly, we observe low overlap across screens while highlighting overlapping candidates that should receive more attention as potential therapeutics for COVID-19. Overall, the COVID-19 Drug and Gene Set Library can be used to identify community consensus, make researchers and clinicians aware of new potential therapies, enable machine-learning applications, and facilitate the research community to work together toward a cure. Elsevier 2020-07-25 /pmc/articles/PMC7381899/ /pubmed/32838343 http://dx.doi.org/10.1016/j.patter.2020.100090 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Kuleshov, Maxim V.
Stein, Daniel J.
Clarke, Daniel J.B.
Kropiwnicki, Eryk
Jagodnik, Kathleen M.
Bartal, Alon
Evangelista, John E.
Hom, Jason
Cheng, Minxuan
Bailey, Allison
Zhou, Abigail
Ferguson, Laura B.
Lachmann, Alexander
Ma'ayan, Avi
The COVID-19 Drug and Gene Set Library
title The COVID-19 Drug and Gene Set Library
title_full The COVID-19 Drug and Gene Set Library
title_fullStr The COVID-19 Drug and Gene Set Library
title_full_unstemmed The COVID-19 Drug and Gene Set Library
title_short The COVID-19 Drug and Gene Set Library
title_sort covid-19 drug and gene set library
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381899/
https://www.ncbi.nlm.nih.gov/pubmed/32838343
http://dx.doi.org/10.1016/j.patter.2020.100090
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