Evidence map›Paper›PMID 32315171›Full record

ArticleJournal of chemical information and modeling2020

Fast Identification of Possible Drug Treatment of Coronavirus Disease-19 (COVID-19) through Computational Drug Repurposing Study.

Junmei Wang

Registry-linked trialAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04372628 (Trial of Early Therapies During Non-hospitalized Outpatient Window), which is not on this map. Cited by 224 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT04372628 phase2completednot on this map

Trial of Early Therapies During Non-hospitalized Outpatient Window (TREAT NOW) for COVID-19

TypeinterventionalSponsorVanderbilt University Medical CenterRan2020 to 2022Enrolled452ConditionsCOVID-19ArmsLopinavir/Ritonavir 400 mg/100 mg, Placebo
3 · Its place in the literature

Who cites it

224 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Computational andFrontiers in pharmacology · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Computational Drug Design Strategies for Fighting the COVID-19 Pandemic.Advances in experimental medicine and biology · 2024
    Article
  20. Potential Drugs in COVID-19 Management.Current medicinal chemistry · 2024
    Review

164 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Junmei WangDepartment of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.ORCID 0000-0002-9607-8229

Funding

NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
AMBER force field consortium: a coherent biomolecular simulation platformR01GM079383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CIEPLAK, PIOTR, DUAN, YONG · 2007 to 2017
$4.7M
Protein Design Using Physical Scoring Functions integrated with Site CouplingsR21GM097617 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, JUNMEI · 2011 to 2012
$397k
NIDA NIH HHS P30 DA035778NIGMS NIH HHS R01 GM079383NIGMS NIH HHS R21 GM097617
6 · The paper itself

Abstract

The recent outbreak of novel coronavirus disease-19 (COVID-19) calls for and welcomes possible treatment strategies using drugs on the market. It is very efficient to apply computer-aided drug design techniques to quickly identify promising drug repurposing candidates, especially after the detailed 3D structures of key viral proteins are resolved. The virus causing COVID-19 is SARS-CoV-2. Taking advantage of a recently released crystal structure of SARS-CoV-2 main protease in complex with a covalently bonded inhibitor, N3 (Liu et al., 10.2210/pdb6LU7/pdb), I conducted virtual docking screening of approved drugs and drug candidates in clinical trials. For the top docking hits, I then performed molecular dynamics simulations followed by binding free energy calculations using an end point method called MM-PBSA-WSAS (molecular mechanics/Poisson-Boltzmann surface area/weighted solvent-accessible surface area; Wang,

Indexed as

Anti-Bacterial AgentsBetacoronavirusCoronavirus 3C ProteasesCoronavirus InfectionsCOVID-19Cysteine EndopeptidasesDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationOligopeptidesPandemicsPneumonia, ViralProtease InhibitorsSARS-CoV-2TetracyclinesAnti-Bacterial AgentscarfilzomibCoronavirus 3C ProteasesCysteine EndopeptidaseseravacyclineOligopeptidesProtease InhibitorsTetracyclinesViral Nonstructural Proteins

Identifiers

PMID32315171
PMCPMC7197972

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.