Evidence map›Paper›PMID 33524563›Full record

ArticleMicrobial pathogenesis2021

Inhibitory efficiency of potential drugs against SARS-CoV-2 by blocking human angiotensin converting enzyme-2: Virtual screening and molecular dynamics study.

Abdul Ashik Khan, Nabajyoti Baildya, Tanmoy Dutta, Narendra Nath Ghosh

Open access · greenAbstract read
In one paragraph

Article in Microbial pathogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Inhibitory effect of compounds extracted fromJournal of molecular structure · 2022
    Article
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  11. Article
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  13. 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

4 authors at 2 institutions in 1 country.

Abdul Ashik KhanDepartment of Chemistry, University of Gour Banga, Mokdumpur, Malda, 732103, India. Electronic address: abdulashik0@gmail.com.
Nabajyoti BaildyaDepartment of Chemistry, University of Kalyani, Kalyani, 741235, India. Electronic address: nabajyotibaildya@gmail.com.
Tanmoy DuttaDepartments of Chemistry, JIS College of Engineering, Kalyani, 741235, India. Electronic address: dutta.tanmoy88@gmail.com.
Narendra Nath GhoshDepartment of Chemistry, University of Gour Banga, Mokdumpur, Malda, 732103, India. Electronic address: ghosh.naren13@gmail.com.
University of Gour Banga · INUniversity of Kalyani · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Till date millions of people are infected by SARS-CoV-2 throughout the world, while no potential therapeutics or vaccines are available to combat this deadly virus. Blocking of human angiotensin-converting enzyme 2 (ACE-2) receptor, the binding site of SARS-CoV-2 spike protein, an effective strategy to discover a drug for COVID-19. Herein we have selected 24 anti-bacterial and anti-viral drugs and made a comprehensive analysis by screened them virtually against ACE-2 receptor to find the best blocker by molecular docking and molecular dynamics studies. Analysis of results revealed that, Cefpiramide (CPM) showed the highest binding affinity of -9.1 kcal/mol. Furthermore, MD study for 10 ns and evaluation of parameters like RMSD, RMSF, radius of gyration, solvent accessible surface area analysis confirmed that CPM effectively binds and blocks ACE-2 receptor efficiently.

Indexed as

COVID-19 Drug TreatmentAngiotensin II Type 2 Receptor BlockersAntiviral AgentsDrug Evaluation, PreclinicalHumansMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Angiotensin II Type 2 Receptor BlockersAntiviral AgentsACE-2COVID-19CPMMolecular dynamics simulationSARS-CoV-2

Identifiers

PMID33524563
PMCPMC7845504
OpenAlexW3128706316

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.