Evidence map›Paper›PMID 35281252›Full record

ReviewCurrent pharmacology reports2022

Methylxanthines as Potential Inhibitor of SARS-CoV-2: an In Silico Approach.

Rajan Rolta, Deeksha Salaria, Bhanu Sharma, Oladoja Awofisayo, Olatomide A Fadare, Sonum Sharma, Chirag N Patel, Vikas Kumar, Anuradha Sourirajan, David J Baumler and 1 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Current pharmacology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Article
  8. Inhibitory Activity ofPlants (Basel, Switzerland) · 2023
    Article
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  11. Article
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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

11 authors at 6 institutions in 3 countries.

Rajan RoltaFaculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh India.
Deeksha SalariaFaculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh India.
Bhanu SharmaFaculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh India.
Oladoja AwofisayoDepartment of Pharmaceutical and Medical Chemistry, University of Uyo, Uyo, Nigeria.
Olatomide A FadareOrganic Chemistry Research Lab, Obafemi Awolowo University, Ile-Ife, Nigeria.
Sonum SharmaFaculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh India.
Chirag N PatelDepartment of Botany, Bioinformatics and Climate Change Impacts Management, University School of Science, Gujarat University, Ahmedabad, India.
Vikas KumarUniversity Institute of Biotechnology, Chandigarh University, Gharuan, Mohali, Punjab India.
Anuradha SourirajanFaculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh India.
David J BaumlerDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN USA.
Kamal DevFaculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh India.
Shoolini University · INChandigarh University · INGujarat University · INObafemi Awolowo University · NGUniversity of Minnesota · USUniversity of Uyo · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to test the binding affinity of methylxanthines (caffeine/theine, methylxanthine, theobromine, theophylline and xanthine) to three potential target proteins namely Spike protein (6LZG), main protease (6LU7) and nucleocapsid protein N-terminal RNA binding domain (6M3M) of SARS-CoV-2. Proteins and ligand were generated using AutoDock 1.5.6 software. Binding affinity of methylxanthines with SARS-CoV-2 target proteins was determined using Autodock Vina. MD simulation of the best interacting complexes was performed using GROMACS 2018.3 (in duplicate) and Desmond program version 2.0 (academic version) (in triplicate) to study the stabile interaction of protein-ligand complexes. Among the selected methylxanthines, theophylline showed the best binding affinity with all the three targets of SARS-CoV-2 (6LZG - 5.7 kcal mol Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s40495-021-00276-3.

Indexed as

6M3MAutoDock VinaMain protease (6LU7)MD simulationMethylxanthinesSARS-CoV-2 spike protein (6LZG)

Identifiers

PMID35281252
PMCPMC8901432
OpenAlexW4220689210

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.