Evidence map›Paper›PMID 37353666›Full record

ArticleMolecular diversity2024

Identification of phytochemical inhibitors targeting phosphate acetyltransferase of Mycoplasma genitalium: insights from virtual screening and molecular dynamics studies.

Krishnendu Barik, Praffulla Kumar Arya, Ajay Kumar Singh, Anil Kumar

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Article in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Krishnendu BarikDepartment of Bioinformatics, Central University of South Bihar, Gaya, 824236, India.
Praffulla Kumar AryaDepartment of Bioinformatics, Central University of South Bihar, Gaya, 824236, India.
Ajay Kumar SinghDepartment of Bioinformatics, Central University of South Bihar, Gaya, 824236, India.
Anil KumarDepartment of Bioinformatics, Central University of South Bihar, Gaya, 824236, India. kumaranil@cub.ac.in.ORCID http://orcid.org/0000-0002-8768-9618
Central University of South Bihar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycoplasma genitalium (M. genitalium) has evolved as a superbug, and the developing antimicrobial resistance with just a few treatment options available is an imminent concern. Due to the emergence of antibiotic resistance, a new antibiotic class or medications are required to combat this pathogen. The phosphate acetyltransferase (PTA) enzyme can be a suitable drug target which is essential for M. genitalium survival and involves in acetate metabolism. To efficiently find potent inhibitors, structure-based drug design approaches targeting the PTA of M. genitalium have been established. In this study, the three most potent phytochemical inhibitors were predicted from virtual screening and these are sitostanyl ferulate, beta-sitosterol-beta-D-glucoside, and brassinolide, with binding energies of - 9.66, - 9.60, and - 9.48 kcal/mol, respectively. The active site residues Thr-125, Arg-300, Ser-299, Tyr-272, and Lys-273 appear to be critical in binding the three predicted potent inhibitors. The results of the molecular dynamics study indicate that the three predicted phytochemical inhibitors have formed stable bonds with PTA. Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) was utilized for the estimation of binding free energy of PTA-phytochemical complexes. Taken together, the findings of our computational work might aid in the development of possible potential drugs to treat and ameliorate the severity of M. genitalium infection.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationMycoplasma genitaliumPhytochemicalsAnti-Bacterial AgentsCatalytic DomainEnzyme InhibitorsAnti-Bacterial AgentsEnzyme InhibitorsPhytochemicalsMolecular dockingMolecular dynamics simulationMycoplasma genitaliumPhosphate acetyltransferasePhytochemical inhibitors

Identifiers

PMID37353666
OpenAlexW4381838977

What OpenQuestion holds

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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.