Evidence map›Paper›PMID 33016237›Full record

ArticleJournal of biomolecular structure & dynamics2022

Structural analysis, virtual screening and molecular simulation to identify potential inhibitors targeting 2'-O-ribose methyltransferase of SARS-CoV-2 coronavirus.

Yuanyuan Jiang, Lanxin Liu, Morenci Manning, Madison Bonahoom, Aaron Lotvola, Zhe Yang, Zeng-Quan Yang

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  6. A review onExploration of targeted anti-tumor therapy · 2023
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  10. Network analytics for drug repurposing in COVID-19.Briefings in bioinformatics · 2022
    Article
  11. Article
  12. Article
  13. Review
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  15. 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

7 authors at 1 institution in 1 country.

Yuanyuan JiangDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Lanxin LiuDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Morenci ManningDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Madison BonahoomDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Aaron LotvolaDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Zhe YangDepartment of Biochemistry, Microbiology and Immunology, Wayne State University School of Medicine, Detroit, MI, USA.
Zeng-Quan YangDepartment of Oncology, Wayne State University School of Medicine, Detroit, MI, USA.
Wayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2, an emerging coronavirus, has spread rapidly around the world, resulting in over ten million cases and more than half a million deaths as of July 1, 2020. Effective treatments and vaccines for SARS-CoV-2 infection do not currently exist. Previous studies demonstrated that nonstructural protein 16 (nsp16) of coronavirus is an S-adenosyl methionine (SAM)-dependent 2'-O-methyltransferase (2'-O-MTase) that has an important role in viral replication and prevents recognition by the host innate immune system. In the present study, we employed structural analysis, virtual screening, and molecular simulation approaches to identify clinically investigated and approved drugs which can act as promising inhibitors against nsp16 2'-O-MTase of SARS-CoV-2. Comparative analysis of primary amino acid sequences and crystal structures of seven human CoVs defined the key residues for nsp16 2-O'-MTase functions. Virtual screening and docking analysis ranked the potential inhibitors of nsp16 from more than 4,500 clinically investigated and approved drugs. Furthermore, molecular dynamics simulations were carried out on eight top candidates, including Hesperidin, Rimegepant, Gs-9667, and Sonedenoson, to calculate various structural parameters and understand the dynamic behavior of the drug-protein complexes. Our studies provided the foundation to further test and repurpose these candidate drugs experimentally and/or clinically for COVID-19 treatment.Communicated by Ramaswamy H. Sarma.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2COVID-19 VaccinesHumansMethyltransferasesMolecular Docking SimulationMolecular Dynamics SimulationRiboseCOVID-19 VaccinesMethyltransferasesRiboseinhibitorKDKE motifmethyltransferasemolecular dynamics simulationnsp16SARS-CoV-2virtual screening

Identifiers

PMID33016237
PMCPMC7544923
OpenAlexW3089650196

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.