Evidence map›Paper›PMID 33193695›Full record

ArticleFrontiers in genetics2020

Identifying Effective Antiviral Drugs Against SARS-CoV-2 by Drug Repositioning Through Virus-Drug Association Prediction.

Lihong Peng, Xiongfei Tian, Ling Shen, Ming Kuang, Tianbao Li, Geng Tian, Jialiang Yang, Liqian Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Review
  6. Article
  7. Article
  8. Drug Interactions for Patients with Respiratory Diseases Receiving COVID-19 Emerged Treatments.International journal of environmental research and public health · 2021
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A Review of CurrentFrontiers in oncology · 2021
    Review
  16. Article
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

8 authors at 2 institutions in 1 country.

Lihong PengSchool of Computer Science, Hunan University of Technology, Zhuzhou, China.
Xiongfei TianSchool of Computer Science, Hunan University of Technology, Zhuzhou, China.
Ling ShenSchool of Computer Science, Hunan University of Technology, Zhuzhou, China.
Ming KuangSchool of Computer Science, Hunan University of Technology, Zhuzhou, China.
Tianbao LiGeneis (Beijing) Co., Ltd., Beijing, China.
Geng TianGeneis (Beijing) Co., Ltd., Beijing, China.
Jialiang YangGeneis (Beijing) Co., Ltd., Beijing, China.
Liqian ZhouSchool of Computer Science, Hunan University of Technology, Zhuzhou, China.
Hunan University of Technology · CNCipher Gene (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new coronavirus called SARS-CoV-2 is rapidly spreading around the world. Over 16,558,289 infected cases with 656,093 deaths have been reported by July 29th, 2020, and it is urgent to identify effective antiviral treatment. In this study, potential antiviral drugs against SARS-CoV-2 were identified by drug repositioning through Virus-Drug Association (VDA) prediction. 96 VDAs between 11 types of viruses similar to SARS-CoV-2 and 78 small molecular drugs were extracted and a novel VDA identification model (VDA-RLSBN) was developed to find potential VDAs related to SARS-CoV-2. The model integrated the complete genome sequences of the viruses, the chemical structures of drugs, a regularized least squared classifier (RLS), a bipartite local model, and the neighbor association information. Compared with five state-of-the-art association prediction methods, VDA-RLSBN obtained the best AUC of 0.9085 and AUPR of 0.6630. Ribavirin was predicted to be the best small molecular drug, with a higher molecular binding energy of -6.39 kcal/mol with human angiotensin-converting enzyme 2 (ACE2), followed by remdesivir (-7.4 kcal/mol), mycophenolic acid (-5.35 kcal/mol), and chloroquine (-6.29 kcal/mol). Ribavirin, remdesivir, and chloroquine have been under clinical trials or supported by recent works. In addition, for the first time, our results suggested several antiviral drugs, such as FK506, with molecular binding energies of -11.06 and -10.1 kcal/mol with ACE2 and the spike protein, respectively, could be potentially used to prevent SARS-CoV-2 and remains to further validation. Drug repositioning through virus-drug association prediction can effectively find potential antiviral drugs against SARS-CoV-2.

Indexed as

antiviral drugsbipartite local modeldrug repositioningneighbor association informationregularized least squareSARS-CoV-2virus-drug association

Identifiers

PMID33193695
PMCPMC7525008
OpenAlexW3086725571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.