Evidence map›Paper›PMID 39219121›Full record

ArticleCurrent pharmaceutical design2024

Identification of Peptidoglycan Glycosyltransferase FtsI as a Potential Drug Target against

Imran Gulzar, Asma Khalil, Usman Ali Ashfaq, Sadia Liaquat, Asma Haque

Abstract read
PubMed Publisher
In one paragraph

Article in Current pharmaceutical design, 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
–field-weighted citation impact
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

0 citing papers in PubMed.

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

5 authors.

Imran GulzarDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.ORCID 0009-0006-0179-3227
Asma KhalilDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.ORCID 0009-0005-2696-2966
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.ORCID 0000-0002-5495-805X
Sadia LiaquatDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.ORCID 0000-0003-1774-7787
Asma HaqueDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.ORCID 0000-0002-7810-1026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction

objectiveTo identify proteins as potential drug targets against

methodsIn this study, a subtractive genomics approach was employed to identify potential drug targets. The whole proteome of

resultsSubsequent analysis revealed 19 common essential proteins shared by both strains. To ensure hostspecificity, we identified 10 non-homologous proteins absent in humans. Among these proteins, peptidoglycan glycosyltransferase FtsI was pivotal, participating in pathogen-specific pathways and making it a promising drug target. Molecular docking highlighted two potential compounds, Balsamenonon A and 3,3',4',7-Tetrahydroxyflavylium, with strong binding affinities with FtsI. A 100 ns molecular dynamics simulation having 10,000 frames substantiated the strong binding affinity and demonstrated the enduring stability of the predicted compounds at the docked site.

conclusionThe findings in this study provide the foundation for drug development strategies against Salmonella infections, which can contribute to the prospective development of natural and cost-effective drugs targeting

Indexed as

Anti-Bacterial AgentsGenomicsMolecular Docking SimulationMolecular Dynamics SimulationSalmonella enteritidisSalmonella typhimuriumBacterial ProteinsGlycosyltransferasesHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial ProteinsGlycosyltransferasesdrug targetsessential proteinsmolecular docking.Salmonella enteritidisSalmonella typhimuriumsubtractive genomics

Identifiers

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.