Evidence map›Paper›PMID 34873274›Full record

ArticleScientific reports2021

Comparative assessment of favipiravir and remdesivir against human coronavirus NL63 in molecular docking and cell culture models.

Yining Wang, Pengfei Li, Sajjan Rajpoot, Uzma Saqib, Peifa Yu, Yunlong Li, Yang Li, Zhongren Ma, Mirza S Baig, Qiuwei Pan

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Therapeutic dilemmas in addressing SARS-CoV-2 infection: Favipiravir versus Remdesivir.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  11. Repurposing of Chemotherapeutics to Combat COVID-19.Current topics in medicinal chemistry · 2022
    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

10 authors at 3 institutions in 3 countries.

Yining WangDepartment of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Room Na-1005, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
Pengfei LiDepartment of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Room Na-1005, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
Sajjan RajpootDepartment of Biosciences and Biomedical Engineering (BSBE), Indian Institute of Technology Indore (IITI), Simrol, Indore, 453552, MP, India.
Uzma SaqibDepartment of Chemistry, Indian Institute of Technology Indore (IITI), Simrol, Indore, 453552, MP, India.
Peifa YuDepartment of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Room Na-1005, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
Yunlong LiDepartment of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Room Na-1005, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
Yang LiDepartment of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Room Na-1005, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
Zhongren MaBiomedical Research Center, Northwest Minzu University, Lanzhou, China.
Mirza S Baig *Department of Biosciences and Biomedical Engineering (BSBE), Indian Institute of Technology Indore (IITI), Simrol, Indore, 453552, MP, India. msb.iit@iiti.ac.in.
Qiuwei Pan *Department of Gastroenterology and Hepatology, Erasmus MC-University Medical Center, Room Na-1005, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands. q.pan@erasmusmc.nl.
Erasmus MC · NLIndian Institute of Technology Indore · INMinzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human coronavirus NL63 (HCoV-NL63) mainly affects young children and immunocompromised patients, causing morbidity and mortality in a subset of patients. Since no specific treatment is available, this study aims to explore the anti-SARS-CoV-2 agents including favipiravir and remdesivir for treating HCoV-NL63 infection. We first successfully modelled the 3D structure of HCoV-NL63 RNA-dependent RNA polymerase (RdRp) based on the experimentally solved SARS-CoV-2 RdRp structure. Molecular docking indicated that favipiravir has similar binding affinities to SARS-CoV-2 and HCoV-NL63 RdRp with LibDock scores of 75 and 74, respectively. The LibDock scores of remdesivir to SARS-CoV-2 and HCoV-NL63 were 135 and 151, suggesting that remdesivir may have a higher affinity to HCoV-NL63 compared to SARS-CoV-2 RdRp. In cell culture models infected with HCoV-NL63, both favipiravir and remdesivir significantly inhibited viral replication and production of infectious viruses. Overall, remdesivir compared to favipiravir is more potent in inhibiting HCoV-NL63 in cell culture. Importantly, there is no evidence of resistance development upon long-term exposure to remdesivir. Furthermore, combining favipiravir or remdesivir with the clinically used antiviral cytokine interferon-alpha resulted in synergistic effects. These findings provided a proof-of-concept that anti-SARS-CoV-2 drugs, in particular remdesivir, have the potential to be repurposed for treating HCoV-NL63 infection.

Indexed as

Adenosine MonophosphateAlanineAmidesAnimalsAntiviral AgentsBinding SitesCell Culture TechniquesCell LineCoronavirus NL63, HumanHaplorhiniHumansMolecular Docking SimulationPyrazinesRNA-Dependent RNA PolymeraseVirus ReplicationAdenosine MonophosphateAlanineAmidesAntiviral AgentsfavipiravirPyrazinesremdesivirRNA-Dependent RNA Polymerase

Identifiers

PMID34873274
PMCPMC8648821
OpenAlexW4200441595

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.