Evidence map›Paper›PMID 32389723›Full record

ArticleInternational journal of antimicrobial agents2020

Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking.

Ran Yu, Liang Chen, Rong Lan, Rong Shen, Peng Li

Open access · greenAbstract read
In one paragraph

Article in International journal of antimicrobial agents, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 3 pooled it
34.6field-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

129 citing papers in PubMed, 3 syntheses or guidelines pooled it, 290 citations in OpenAlex.

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

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

5 authors at 2 institutions in 1 country.

Ran YuDepartment of Bioengineering, Beijing Polytechnic, Daxing District, Beijing 100176, China. Electronic address: yuran1230@hotmail.com.
Liang ChenDepartment of Bioengineering, Beijing Polytechnic, Daxing District, Beijing 100176, China.
Rong LanDepartment of Bioengineering, Beijing Polytechnic, Daxing District, Beijing 100176, China.
Rong ShenDepartment of Bioengineering, Beijing Polytechnic, Daxing District, Beijing 100176, China.
Peng LiSDIC Xinkai Water Environment Investment Co., Ltd, Tongzhou District, Beijing, 101101, China.
Beijing Polytechnic · CNState Development & Investment Corporation (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current spread of novel coronavirus (SARS-CoV-2), antiviral drug discovery is of great importance. AutoDock Vina was used to screen potential drugs by molecular docking with the structural protein and non-structural protein sites of new coronavirus. Ribavirin, a common antiviral drug, remdesivir, chloroquine and luteolin were studied. Honeysuckle is generally believed to have antiviral effects in traditional Chinese medicine. In this study, luteolin (the main flavonoid in honeysuckle) was found to bind with a high affinity to the same sites of the main protease of SARS-CoV-2 as the control molecule. Chloroquine has been proved clinically effective and can bind to the main protease; this may be the antiviral mechanism of this drug. The study was restricted to molecular docking without validation by molecular dynamics simulations. Interactions with the main protease may play a key role in fighting against viruses. Luteolin is a potential antiviral molecule worthy of attention.

Indexed as

Computational BiologyAntiviral AgentsBetacoronavirusChloroquineCoronavirus InfectionsCOVID-19HumansLuteolinMolecular Docking SimulationPandemicsPneumonia, ViralSARS-CoV-2Antiviral AgentsChloroquineLuteolin2019-nCoVAutoDock Vinachloroquineluteolinremdesivirribavirin

Identifiers

PMID32389723
PMCPMC7205718
OpenAlexW3023594261

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.