Evidence map›Paper›PMID 33330842›Full record

ArticleACS pharmacology & translational science2020

Virtual and

Giovanni Bocci, Steven B Bradfute, Chunyan Ye, Matthew J Garcia, Jyothi Parvathareddy, Walter Reichard, Surekha Surendranathan, Shruti Bansal, Cristian G Bologa, Douglas J Perkins and 3 more

Open access · greenAbstract read
In one paragraph

Article in ACS pharmacology & translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 59 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 3 countries.

Giovanni BocciTranslational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Steven B BradfuteCenter for Global Health, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Chunyan YeCenter for Global Health, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Matthew J GarciaUNM Center for Molecular Discovery, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Jyothi ParvathareddyDepartment of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 3816, United States.
Walter ReichardDepartment of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 3816, United States.
Surekha SurendranathanDepartment of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 3816, United States.
Shruti BansalDepartment of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 3816, United States.
Cristian G BologaTranslational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Douglas J PerkinsCenter for Global Health, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Colleen B JonssonDepartment of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 3816, United States.
Larry A SklarUNM Center for Molecular Discovery, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
Tudor I OpreaTranslational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico 87131, United States.
University of New Mexico · USUniversity of Tennessee Health Science Center · USUniversity of Copenhagen · DK

Funding

Machine Learning Model Validation for AD/ADRDU24CA224370 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2018 to 2023
$6.4M
Harnessing the Malarial Immunity Omics Landscape in Vaccinated and Unvaccinated Children for Improved Therapeutic StrategiesR01AI130473 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Samuel Bonuke Anyona, Douglas Jay Perkins · 2018 to 2026
$5.6M
Temporal Transcriptomics in Hospitalized COVID-19 Patients from Disparately Impacted Ancestral Groups for Therapeutic DiscoveryR01AI160662 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI PERKINS, DOUGLAS JAY · 2021 to 2023
$2.3M
NCI NIH HHS U24 CA224370NIAID NIH HHS R01 AI130473NIAID NIH HHS R01 AI160662
6 · The paper itself

Abstract

The urgent need for a cure for early phase COVID-19 infected patients critically underlines drug repositioning strategies able to efficiently identify new and reliable treatments by merging computational, experimental, and pharmacokinetic expertise. Here we report new potential therapeutics for COVID-19 identified with a combined virtual and experimental screening strategy and selected among already approved drugs. We used hydroxychloroquine (HCQ), one of the most studied drugs in current clinical trials, as a reference template to screen for structural similarity against a library of almost 4000 approved drugs. The top-ranked drugs, based on structural similarity to HCQ, were selected for

Identifiers

PMID33330842
PMCPMC7571299
OpenAlexW3092807007

What OpenQuestion holds

Textmetadata
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.