Evidence map›Paper›PMID 34426710›Full record

ArticlePharmaceutical chemistry journal2021

Structure-Based Virtual Screening and Molecular Dynamics Simulation to Identify Potential SARS-CoV-2 Spike Receptor Inhibitors from Natural Compound Database.

Arkadeep Sarkar, Debanjan Sen, Ashutosh Sharma, Ravi Kumar Muttineni, Sudhan Debnath

Abstract read
In one paragraph

Article in Pharmaceutical chemistry journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Arkadeep Sarkar *Department of Pharmacy, BCDA College of Pharmacy & Technology, Jessore Road South, Hridaypur, Kolkata, West Bengal 700127 India.
Debanjan Sen *Department of Pharmacy, BCDA College of Pharmacy & Technology, Jessore Road South, Hridaypur, Kolkata, West Bengal 700127 India.
Ashutosh SharmaSchool of Engineering and Sciences, Tecnologico de Monterrey, Campus Queretaro, Av. Epigmenio Gonzalez, No. 500 Fracc., 76130 San Pablo, Queretaro Mexico.
Ravi Kumar MuttineniImmunocure Discovery Solution Pvt. ltd, IKP, Hydrabad, 500078 India.
Sudhan DebnathDepartment of Chemistry, M. B. B. College, Agartala, Tripura 799004 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of respiratory disease, COVID-19 caused by SARS-CoV-2 has now been spread globally and the number of new infections is rising every moment. There are no specific medications that are currently available to combat the disease. The spike receptor of SARS-CoV-2 facilitates the viral entry into a host cell and initiation of infection. Targeting the viral entry at the initial stage has a better advantage than inhibiting it in later stages of the viral life cycle. This study deals with identification of the potential natural molecule or its derivatives from MolPort Databank as SARS-CoV-2 spike receptor inhibitors using structure-based virtual screening followed by molecular dynamics simulation. On the basis of ADME properties, docking score, MMGBSAbinding energy, 150 ns molecular docking studies, and final molecular dynamics analysis, two natural compounds -

Indexed as

ADME filtrationmolecular dockingmolecular dynamicsMolPort databasespike receptor

Identifiers

PMID34426710
PMCPMC8374036

What OpenQuestion holds

Textmetadata
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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.