Evidence map›Paper›PMID 37115321›Full record

ArticleJournal of molecular modeling2023

Bioprospecting phytochemicals of Rosmarinus officinalis L. for targeting SARS-CoV-2 main protease (M

Unnati Patel, Krishna Desai, Ranjitsinh C Dabhi, Jayesh J Maru, Pranav S Shrivastav

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Unnati PatelDepartment of Chemistry, University School of Sciences, Gujarat University, Ahmedabad, 380009, India.
Krishna DesaiDepartment of Botany, Bioinformatics and Climate Change Impacts Management, University School of Sciences, Gujarat University, Ahmedabad, 380009, India.
Ranjitsinh C DabhiDepartment of Chemistry, University School of Sciences, Gujarat University, Ahmedabad, 380009, India.
Jayesh J MaruDepartment of Chemistry, University School of Sciences, Gujarat University, Ahmedabad, 380009, India.
Pranav S ShrivastavDepartment of Chemistry, University School of Sciences, Gujarat University, Ahmedabad, 380009, India. pranavs@gujaratuniversity.ac.in.
Gujarat University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe persistent spread of highly contagious COVID-19 disease is one of the deadliest occurrences in the history of mankind. Despite the distribution of numerous efficacious vaccines and their extensive usage, the perpetual effectiveness of immunization is being catechized. Therefore, discovering an alternative therapy to control and prevent COVID-19 infections has become a top priority. The main protease (M

methodsIn this context, virtual screening of thirteen bioactive polyphenols and terpenoids of Rosmarinus officinalis L. was performed using several computational modules including molecular docking, ADMET, drug-likeness characteristics, and molecular dynamic simulation to predict the potential inhibitors against SARS-CoV-2 M

Indexed as

COVID-19RosmarinusAntiviral AgentsBioprospectingCoronavirus 3C ProteasesMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsSARS-CoV-23C-like proteinase, SARS-CoV-2Antiviral AgentsCoronavirus 3C ProteasesProtease InhibitorsADMETDrug-likeness studyMolecular dockingMolecular dynamicsRosmarinus officinalis L.SARS-CoV-2 Mpro

Identifiers

PMID37115321
PMCPMC10141822
OpenAlexW4367312753

What OpenQuestion holds

Textmetadata
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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.