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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7381899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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