Evidence map›Paper›PMID 32960159›Full record

ArticleJournal of biomolecular structure & dynamics2022

The potential role of procyanidin as a therapeutic agent against SARS-CoV-2: a text mining, molecular docking and molecular dynamics simulation approach.

Nikhil Maroli, Balu Bhasuran, Jeyakumar Natarajan, Ponmalai Kolandaivel

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.9field-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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Phenolic Fraction from Peanut (Food and bioprocess technology · 2023
    Review
  7. Article
  8. Bioactive compounds as potential angiotensin-converting enzyme II inhibitors against COVID-19: a scoping review.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
    Article
  9. Natural Inhibitors Targeting the Localization of Lipoprotein System inInternational journal of molecular sciences · 2022
    Article
  10. Review
  11. Article
  12. Targeting autophagy with natural products to prevent SARS-CoV-2 infection.Journal of traditional and complementary medicine · 2022
    Review
  13. Review
  14. Review
  15. Pharmaceuticals (Basel, Switzerland) · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Potential inhibitors of SARS-CoV-2 (COVID 19) proteases PLCurrent research in pharmacology and drug discovery · 2021
    Article
  20. 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 3 institutions in 1 country.

Nikhil MaroliComputational Biology Division, DRDO Center for Life Sciences, Bharathiar University Campus, Coimbatore, Tamil Nadu, India.
Balu BhasuranComputational Biology Division, DRDO Center for Life Sciences, Bharathiar University Campus, Coimbatore, Tamil Nadu, India.
Jeyakumar NatarajanData Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India.
Ponmalai KolandaivelPeriyar University, Salem, Tamil Nadu, India.
Bharathiar University · INIndian Institute of Science Bangalore · INPeriyar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus (SARS-CoV-2) has caused a major outbreak in human all over the world. There are several proteins interplay during the entry and replication of this virus in human. Here, we have used text mining and named entity recognition method to identify co-occurrence of the important COVID 19 genes/proteins in the interaction network based on the frequency of the interaction. Network analysis revealed a set of genes/proteins, highly dense genes/protein clusters and sub-networks of Angiotensin-converting enzyme 2 (ACE2), Helicase, spike (S) protein (trimeric), membrane (M) protein, envelop (E) protein, and the nucleocapsid (N) protein. The isolated proteins are screened against procyanidin-a flavonoid from plants using molecular docking. Further, molecular dynamics simulation of critical proteins such as ACE2, Mpro and spike proteins are performed to elucidate the inhibition mechanism. The strong network of hydrogen bonds and hydrophobic interactions along with van der Waals interactions inhibit receptors, which are essential to the entry and replication of the SARS-CoV-2. The binding energy which largely arises from van der Waals interactions is calculated (ACE2=-50.21 ± 6.3, Mpro=-89.50 ± 6.32 and spike=-23.06 ± 4.39) through molecular mechanics Poisson-Boltzmann surface area also confirm the affinity of procyanidin towards the critical receptors. Communicated by Ramaswamy H. Sarma.

Indexed as

COVID-19ProanthocyanidinsData MiningHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusProanthocyanidinsSpike Glycoprotein, Coronaviruscovidmolecular dockingmolecular dynamics simulationprocyanidinText mining

Identifiers

PMID32960159
PMCPMC7544928
OpenAlexW3087576173

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.