Evidence map›Paper›PMID 35988295›Full record

ArticleBiochemical and biophysical research communications2022

Virtual screening and molecular dynamics simulation for identification of natural antiviral agents targeting SARS-CoV-2 NSP10.

Huilin Zhao, Jin Liu, Lei He, Lichuan Zhang, Rilei Yu, Congmin Kang

Abstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Huilin ZhaoSchool of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China.
Jin LiuSchool of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China.
Lei HeSchool of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China.
Lichuan ZhangSchool of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China.
Rilei YuKey Laboratory of Marine Drugs, Chinese Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Congmin KangSchool of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China. Electronic address: qustndds@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New variations of SARS-CoV-2 continue to emerge in the global pandemic, which may be resistant to at least some vaccines in COVID-19, indicating that drug and vaccine development must be continuously strengthened. NSP10 plays an essential role in SARS-CoV-2 viral life cycle. It stimulates the enzymatic activities of NSP14-ExoN and NSP16-O-MTase by the formation of NSP10/NSP14 and NSP10/NSP16 complexes. Inhibiting NSP10 can block the binding of NSP10 to NSP14 and NSP16. This study has identified potential natural NSP10 inhibitors from ZINC database. The protein druggable pocket was identified for screening candidates. Molecular docking of the selected compounds was performed and MM-GBSA binding energy was calculated. After ADMET assessment, 4 hits were obtained for favorable druggability. The analysis of site interactions suggested that the hits all had excellent binding. Molecular dynamics studies revealed that selected natural compounds stably bind to NSP10. These compounds were identified as potential leads against NSP10 for the development of strategies to combat SARS-CoV-2 replication and could serve as the basis for further studies.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsHumansMethyltransferasesMolecular Docking SimulationMolecular Dynamics SimulationViral Nonstructural ProteinsAntiviral AgentsMethyltransferasesViral Nonstructural ProteinsAntiviral agentsNSP10RNA replicationSARS-CoV-2Virtual screening

Identifiers

PMID35988295
PMCPMC9376029

What OpenQuestion holds

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Registered trials

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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.