Evidence map›Paper›PMID 34476266›Full record

ArticleMolecular biology research communications2021

Pushpendra Singh, Manish Kumar Tripathi, Mohammad Yasir, Ruchi Khare, Rahul Shrivastava

Abstract read
In one paragraph

Article in Molecular biology research communications, 2021. 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. Review
  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

5 authors.

Pushpendra SinghState Virus Research and Diagnostic Laboratory, Department of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh-492099 India.
Manish Kumar TripathiDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi-110029, India.
Mohammad YasirDepartment of Nephrology, All India Institute of Medical Science Bhopal, Madhya Pradesh-462020 India.
Ruchi KhareDepartment of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh-462003 India.
Rahul ShrivastavaDepartment of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh-462003 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome is a viral respiratory disease recognised as COVID-19, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Formerly, no precise remedies are available, and many studies regarding COVID-19 prevention and treatment are under development. Several targets for the design of drugs are identified, and studies are in headway to explore the potential target. RNA-dependent RNA polymerase (RdRp) protein identified as a promising target against SARS-CoV-2 infection for the drug design due to its significant role in viral replication. The present study focuses on identifying the binding effect of previously known RdRp inhibitors with RdRp of SARS-CoV-2 using molecular docking and molecular dynamics simulation approaches. Molecular docking and binding free energy calculations against RdRp enzyme identified suramin as a potential compound that showed the highest docking score of -7.83 Kcal/mole and binding energy of -80.83 Kcal/mole as a comparison to other compounds. Further, molecular dynamics simulation studies were moreover showed the stable binding behaviour of suramin docked complex in the protein active site. Thus, the study concludes that suramin might be helpful as a potential inhibitor against RNA-dependent RNA polymerase of SRAS-CoV-2. However, further investigation is needed to assess the possible effect of inhibitors on RdRp through

Indexed as

COVID-19In silicoMolecular DockingRNA-dependent RNA polymerase (RdRp)SARS-CoV-2

Identifiers

PMID34476266
PMCPMC8340315

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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.