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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.
  • Kuleshov MV; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Stein DJ; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Clarke DJB; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Kropiwnicki E; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Jagodnik KM; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Bartal A; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Evangelista JE; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Hom J; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Cheng M; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Bailey A; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Zhou A; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Ferguson LB; Department of Neurology, Dell Medical School, University of Texas at Austin, 1601 Trinity Street, Bldg B, Austin, TX 78712, USA.
  • Lachmann A; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
  • Ma'ayan A; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Big Data to Knowledge, Library of Integrated Network-based Cellular Signatures, Data Coordination and Integration Center (BD2K-LINCS DCIC), Knowledge Management Center for Illuminating the Druggable Genome (KMC-IDG), Icah
Patterns (N Y) ; 1(6): 100090, 2020 Sep 11.
Article in English | MEDLINE | ID: covidwho-670816
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Patterns (N Y) Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Patterns (N Y) Year: 2020 Document Type: Article