ArticlePatterns (New York, N.Y.)2020
The COVID-19 Drug and Gene Set Library.
Abstract read
In one paragraph
Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genome-scale metabolic modeling reveals SARS-CoV-2-induced metabolic changes and antiviral targets.Molecular systems biology · 2021Pooled it
- Article
- COVID-19 immunopathological features for the prediction and prevention of future emerging respiratory viral infections.Computational and structural biotechnology journal · 2026Article
- Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles.Nucleic acids research · 2024Article
- Antiviral responses in a Jamaican fruit bat intestinal organoid model of SARS-CoV-2 infection.Nature communications · 2023Article
- DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing.BMC bioinformatics · 2023Article
- Review
- Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients.Cell reports. Medicine · 2023Article
- Empowering biologists to decode omics data: the Genekitr R package and web server.BMC bioinformatics · 2023Article
- Sleep and circadian rhythm disruption alters the lung transcriptome to predispose to viral infection.iScience · 2023Article
- Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates.International journal of molecular sciences · 2023Article
- COVID-GWAB: A Web-Based Prediction of COVID-19 Host Genes via Network Boosting of Genome-Wide Association Data.Biomolecules · 2022Article
- A translational genomics approach identifies IL10RB as the top candidate gene target for COVID-19 susceptibility.NPJ genomic medicine · 2022Article
- Human milk inhibits some enveloped virus infections, including SARS-CoV-2, in an intestinal model.Life science alliance · 2022Article
- Cytopathic SARS-CoV-2 screening on VERO-E6 cells in a large-scale repurposing effort.Scientific data · 2022Article
- In silico analysis of SARS-CoV-2 proteins as targets for clinically available drugs.Scientific reports · 2022Article
- A path-based analysis of infected cell line and COVID-19 patient transcriptome reveals novel potential targets and drugs against SARS-CoV-2.Research square · 2022Article
- A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research.Journal of chemical information and modeling · 2022Article
- Day-night and seasonal variation of human gene expression across tissues.bioRxiv : the preprint server for biology · 2022Article
- HumanNet v3: an improved database of human gene networks for disease research.Nucleic acids research · 2022Article
Corrections and comments
- Update of
Authors and funding
14 authors.
Maxim V KuleshovDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Daniel J SteinDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Daniel J B ClarkeDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Eryk KropiwnickiDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Kathleen M JagodnikDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Alon BartalDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
John E EvangelistaDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Jason HomDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Minxuan ChengDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Allison BaileyDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Abigail ZhouDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Laura B FergusonDepartment of Neurology, Dell Medical School, University of Texas at Austin, 1601 Trinity Street, Bldg B, Austin, TX 78712, USA.
Alexander LachmannDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Avi Ma'ayanDepartment 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), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Funding
Data Coordination and Integration Center for LINCS-BD2KU54HL127624 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SCHURER, STEPHAN C · 2014 to 2019
$23.5MTRAINING PROGRAM IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007824 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GELB, BRUCE D · 1995 to 2022
$8.6MIntegrative Neuroscience Initiative on AlcoholismU24AA025479 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI ROBERT O. MESSING · 2017 to 2026
$5.0MKnowledge Management Center for Illuminating the Druggable GenomeU24CA224260 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2018 to 2023
$1.5MTranscriptome-guided diagnosis and therapy for alcohol use disorderF32AA028148 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI FERGUSON, LAURA BROCKWAY · 2019 to 2021
$81kNCI NIH HHS U24 CA224260NHLBI NIH HHS T32 HL007824NHLBI NIH HHS U54 HL127624NIAAA NIH HHS F32 AA028148NIAAA NIH HHS U24 AA025479
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
Indexed as
DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems
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What OpenQuestion holds
Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.