Evidence map›Paper›PMID 33141358›Full record

ReviewJournal, genetic engineering & biotechnology2020

A comprehensive review on promising anti-viral therapeutic candidates identified against main protease from SARS-CoV-2 through various computational methods.

Ekampreet Singh, Rameez Jabeer Khan, Rajat Kumar Jha, Gizachew Muluneh Amera, Monika Jain, Rashmi Prabha Singh, Jayaraman Muthukumaran, Amit Kumar Singh

Abstract readReview
In one paragraph

Review in Journal, genetic engineering & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Consensus Pharmacophore Strategy For Identifying Novel SARS-Cov-2 MJournal of chemical information and modeling · 2024
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  11. Article
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  13. Identification of Alkaloids fromChemistrySelect · 2022
    Article
  14. Identification of bioactive molecules fromJournal of King Saud University. Science · 2022
    Article
  15. Article
  16. Review
  17. Structural and functional significance of the amino acid differences ValInternational journal of biological macromolecules · 2021
    Article
  18. Article
  19. Article
  20. Review
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

8 authors.

Ekampreet SinghDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India.
Rameez Jabeer KhanDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India.
Rajat Kumar JhaDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India.
Gizachew Muluneh AmeraDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India.
Monika JainDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India.
Rashmi Prabha SinghDepartment of Biotechnology, IILM College of Engineering & Technology, Greater Noida, U.P, India.
Jayaraman MuthukumaranDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India. j.muthukumaran@sharda.ac.in.
Amit Kumar SinghDepartment of Biotechnology, School of Engineering and Technology, Sharda University, Greater Noida, U.P, P.C. 201310, India. amitk.singh@sharda.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic caused by SARS-CoV-2 has shown an exponential trend of infected people across the planet. Crediting its virulent nature, it becomes imperative to identify potential therapeutic agents against the deadly virus. The 3-chymotrypsin-like protease (3CLpro) is a cysteine protease which causes the proteolysis of the replicase polyproteins to generate functional proteins, which is a crucial step for viral replication and infection. Computational methods have been applied in recent studies to identify promising inhibitors against 3CLpro to inhibit the viral activity. This review provides an overview of promising drug/lead candidates identified so far against 3CLpro through various in silico approaches such as structure-based virtual screening (SBVS), ligand-based virtual screening (LBVS) and drug-repurposing/drug-reprofiling/drug-retasking. Further, the drugs have been classified according to their chemical structures or biological activity into flavonoids, peptides, terpenes, quinolines, nucleoside and nucleotide analogues, protease inhibitors, phenalene and antibiotic derivatives. These are then individually discussed based on the various structural parameters namely estimated free energy of binding (ΔG), key interacting residues, types of intermolecular interactions and structural stability of 3CLpro-ligand complexes obtained from the results of molecular dynamics (MD) simulations.

conclusionThe review provides comprehensive information of potential inhibitors identified through several computational methods thus far against 3CLpro from SARS-CoV-2 and provides a better understanding of their interaction patterns and dynamic states of free and ligand-bound 3CLpro structures.

Indexed as

3CLproDrug-repurposingInhibitorsIn silicoLigand-based virtual screening (LBVS)Structure-based virtual screening (SBVS)

Identifiers

PMID33141358
PMCPMC7607901

What OpenQuestion holds

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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.