Evidence map›Paper›PMID 32738360›Full record

ArticleLife sciences2020

Computational guided drug repurposing for targeting 2'-O-ribose methyltransferase of SARS-CoV-2.

Kedar Sharma, Sudhir Morla, Arun Goyal, Sachin Kumar

Open access · greenAbstract read
In one paragraph

Article in Life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Kedar SharmaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
Sudhir MorlaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
Arun GoyalDepartment of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
Sachin KumarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India. Electronic address: sachinku@iitg.ac.in.
Indian Institute of Technology Guwahati · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe recent outbreak of pandemic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led the world towards a global health emergency. Currently, no proper medicine or effective treatment strategies are available; therefore, repurposing of FDA approved drugs may play an important role in overcoming the situation. MATERIALS AND

methodsThe SARS-CoV-2 genome encodes for 2-O-methyltransferase (2'OMTase), which plays a key role in methylation of viral RNA for evading host immune system. In the present study, the protein sequence of 2'OMTase of SARS-CoV-2 was analyzed, and its structure was modeled by a comparative modeling approach and validated. The library of 3000 drugs was screened against the active site of 2'OMTase followed by re-docking analysis. The apo and ligand-bound 2'OMTase were further validated and analyzed by using molecular dynamics simulation. KEY

findingsThe modeled structure displayed the conserved characteristic fold of class I MTase family. The quality assessment analysis by SAVES server reveals that the modeled structure follows protein folding rules and of excellent quality. The docking analysis displayed that the active site of 2'OMTase accommodates an array of drugs, which includes alkaloids, antivirals, cardiac glycosides, anticancer, steroids, and other drugs. The redocking and MD simulation analysis of the best 5 FDA approved drugs reveals that these drugs form a stable conformation with the 2'OMTase. SIGNIFICANCE: The results suggested that these drugs may be used as potential inhibitors for 2'OMTase for combating the SARS-CoV-2 infection.

Indexed as

Antiviral AgentsBetacoronavirusComputational BiologyCoronavirus InfectionsCOVID-19Drug RepositioningEnzyme InhibitorsHumansMethylationMethyltransferasesMolecular Docking SimulationMolecular Dynamics SimulationMolecular Targeted TherapyPandemicsPneumonia, ViralSARS-CoV-2Antiviral Agentscap II RNA(nucleoside-2'-)methyltransferaseEnzyme InhibitorsMethyltransferases2-O-methyltransferaseFDA approved drugsRepurposingSARS-CoV-2Virtual screening

Identifiers

PMID32738360
PMCPMC7387922
OpenAlexW3045826075

What Socratic 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 Socratic graph.