Evidence map›Paper›PMID 33817623›Full record

ArticleMedicine in drug discovery2021

Network bioinformatics analysis provides insight into drug repurposing for COVID-19.

Xu Li, Jinchao Yu, Zhiming Zhang, Jing Ren, Alex E Peluffo, Wen Zhang, Yujie Zhao, Jiawei Wu, Kaijing Yan, Daniel Cohen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Medicine in drug discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
16.6field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
  2. Applications of Artificial Intelligence in Drug Repurposing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  11. Effect of an Inhibitor on the ACE2-Receptor-Binding Domain of SARS-CoV-2.Journal of chemical information and modeling · 2022
    Article
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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

11 authors at 1 institution in 1 country.

Xu LiGeneNet Pharmaceuticals, Tianjin, China.
Jinchao YuPharnext, Paris, France.
Zhiming ZhangGeneNet Pharmaceuticals, Tianjin, China.
Jing RenGeneNet Pharmaceuticals, Tianjin, China.
Alex E PeluffoPharnext, Paris, France.
Wen ZhangGeneNet Pharmaceuticals, Tianjin, China.
Yujie ZhaoGeneNet Pharmaceuticals, Tianjin, China.
Jiawei WuGeneNet Pharmaceuticals, Tianjin, China.
Kaijing YanGeneNet Pharmaceuticals, Tianjin, China.
Daniel CohenPharnext, Paris, France.
Wenjia WangGeneNet Pharmaceuticals, Tianjin, China.
Pharnext (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 disease caused by the SARS-CoV-2 virus is a health crisis worldwide. While developing novel drugs and vaccines is long, repurposing existing drugs against COVID-19 can yield treatments with known preclinical, pharmacokinetic, pharmacodynamic, and toxicity profiles, which can rapidly enter clinical trials. In this study, we present a novel network-based drug repurposing platform to identify candidates for the treatment of COVID-19. At the time of the initial outbreak, knowledge about SARS-CoV-2 was lacking, but based on its similarity with other viruses, we sought to identify repurposing candidates to be tested rapidly at the clinical or preclinical levels. We first analyzed the genome sequence of SARS-CoV-2 and confirmed SARS as the closest virus by genome similarity, followed by MERS and other human coronaviruses. Using text mining and database searches, we obtained 34 COVID-19-related genes to seed the construction of a molecular network where our module detection and drug prioritization algorithms identified 24 disease-related human pathways, five modules, and 78 drugs to repurpose. Based on clinical knowledge, we re-prioritized 30 potentially repurposable drugs against COVID-19 (including pseudoephedrine, andrographolide, chloroquine, abacavir, and thalidomide). Our work shows how in silico repurposing analyses can yield testable candidates to accelerate the response to novel disease outbreaks.

Indexed as

COVID-19Drug repurposingNetwork bioinformaticsNetwork pharmacologySARS-CoV-2

Identifiers

PMID33817623
PMCPMC8008783
OpenAlexW3140188894

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.