Evidence map›Paper›PMID 34052565›Full record

ArticleBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2021

Main protease inhibitors and drug surface hotspots for the treatment of COVID-19: A drug repurposing and molecular docking approach.

Mahmudul Hasan, Md Sorwer Alam Parvez, Kazi Faizul Azim, Md Abdus Shukur Imran, Topu Raihan, Airin Gulshan, Samuel Muhit, Rubaiat Nazneen Akhand, Syed Sayeem Uddin Ahmed, Md Bashir Uddin

Open access · goldAbstract read
In one paragraph

Article in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  5. Review
  6. Review
  7. Fullerenes against COVID-19: Repurposing CMolecules (Basel, Switzerland) · 2022
    Article
  8. Review
  9. Identification of lactoferrin-derived peptides as potential inhibitors against the main protease of SARS-CoV-2.Lebensmittel-Wissenschaft + [i.e. und] Technologie. Food science + technology. Science + technologie alimentaire · 2022
    Article
  10. Review
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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

10 authors at 2 institutions in 1 country.

Mahmudul HasanDepartment of Pharmaceuticals and Industrial Biotechnology, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Md Sorwer Alam ParvezDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Kazi Faizul AzimDepartment of Microbial Biotechnology, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Md Abdus Shukur ImranDepartment of Pharmaceuticals and Industrial Biotechnology, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Topu RaihanDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Airin GulshanFaculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Samuel MuhitDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Rubaiat Nazneen AkhandDepartment of Biochemistry and Chemistry, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Syed Sayeem Uddin AhmedDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet 3100, Bangladesh. Electronic address: ahmedssu.eph@sau.ac.bd.
Md Bashir UddinDepartment of Medicine, Sylhet Agricultural University, Sylhet 3100, Bangladesh. Electronic address: bashir.vetmed@sau.ac.bd.
Sylhet Agricultural University · BDShahjalal University of Science and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, drug repurposing and molecular docking were employed to screen approved MPP inhibitors and their derivatives to suggest a specific therapeutic agent for the treatment of COVID-19. The approved MPP inhibitors against HIV and HCV were prioritized, while RNA dependent RNA Polymerase (RdRp) inhibitor remdesivir including Favipiravir, alpha-ketoamide were studied as control groups. The target drug surface hotspot was also investigated through the molecular docking technique. Molecular dynamics was performed to determine the binding stability of docked complexes. Absorption, distribution, metabolism, and excretion analysis was conducted to understand the pharmacokinetics and drug-likeness of the screened MPP inhibitors. The results of the study revealed that Paritaprevir (-10.9 kcal/mol) and its analog (CID 131982844) (-16.3 kcal/mol) showed better binding affinity than the approved MPP inhibitors compared in this study, including remdesivir, Favipiravir, and alpha-ketoamide. A comparative study among the screened putative MPP inhibitors revealed that the amino acids T25, T26, H41, M49, L141, N142, G143, C145, H164, M165, E166, D187, R188, and Q189 are at potentially critical positions for being surface hotspots in the MPP of SARS-CoV-2. The top 5 predicted drugs (Paritaprevir, Glecaprevir, Nelfinavir, and Lopinavir) and the topmost analog showed conformational stability in the active site of the SARS-CoV-2 MP protein. The study also suggested that Paritaprevir and its analog (CID 131982844) might be effective against SARS-CoV-2. The current findings are limited to in silico analysis and lack in vivo efficacy testing; thus, we strongly recommend a quick assessment of Paritaprevir and its analog (CID 131982844) in a clinical trial.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsAntiviral AgentsProtease InhibitorsCOVID-19Drug repurposingMain protease protein (MPP) inhibitorsMolecular dockingSARS-CoV-2

Identifiers

PMID34052565
PMCPMC8130501
OpenAlexW3090104094

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.