Evidence map›Paper›PMID 33183178›Full record

ArticleJournal of biomolecular structure & dynamics2022

Identification of natural inhibitors against prime targets of SARS-CoV-2 using molecular docking, molecular dynamics simulation and MM-PBSA approaches.

Abhilasha Sharma, Jaykant Vora, Dhaval Patel, Sonam Sinha, Prakash C Jha, Neeta Shrivastava

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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 69 citations in OpenAlex.

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  10. Acridones as promising drug candidates against Oropouche virus.Current research in microbial sciences · 2024
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  15. Article
  16. Article
  17. Article
  18. Article
  19. Journal of natural products · 2023
    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

6 authors at 4 institutions in 1 country.

Abhilasha SharmaB. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India.
Jaykant VoraB. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India.
Dhaval PatelDepartment of Biological Sciences and Biotechnology, Indian Institute of Advanced Research, Koba Institutional Area, Gandhinagar, Gujarat, India.ORCID 0000-0002-1811-2057
Sonam SinhaB. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India.
Prakash C JhaSchool of Applied Material Sciences, Central University of Gujarat, Gandhinagar, India.ORCID 0000-0002-1709-511X
Neeta ShrivastavaB. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Ahmedabad, Gujarat, India.
Gujarat University · INB. V. Patel Pharmaceutical Education and Research Development Centre · INCentral University of Gujarat · INIndian Institute of Advanced Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recently emerged COVID-19 has been declared a pandemic by the World Health Organization as to date; no therapeutic drug/vaccine is available for the treatment. Due to the lack of time and the urgency to contain the pandemic, computational screening appears to be the best tool to find a therapeutic solution. Accumulated evidence suggests that many phyto-compounds possess anti-viral activity. Therefore, we identified possible phyto-compounds that could be developed and used for COVID-19 treatment. In particular, molecular docking was used to prioritize the possible active phyto-compounds against two key targets namely RNA dependent RNA polymerase (RdRp) and main protease (M

Indexed as

COVID-19 Drug TreatmentMolecular Dynamics SimulationHumansMolecular Docking SimulationSARS-CoV-2COVID-19MM-PBSAmolecular dockingmolecular dynamicsphyto-compoundsSARS-CoV-2

Identifiers

PMID33183178
PMCPMC7678369
OpenAlexW3103873736

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.