Evidence map›Paper›PMID 40875735›Full record

ArticlePloS one2025

Identification of potent antibacterial inhibitors targeting methyltransferase Mtr1/TrmD in Haemophilus influenzae via molecular dynamics simulations.

Saud Almawash, Sitah Alharthi

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Review
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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

2 authors.

Saud AlmawashDepartment of Pharmaceutics, College of Pharmacy, Shaqra University, Shaqra, Saudi Arabia.ORCID 0000-0001-8999-3464
Sitah AlharthiDepartment of Pharmaceutics, College of Pharmacy, Shaqra University, Al-Dawadmi Campus, Al-Dawadmi, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial influenza is a significant global health and economic concern, and the effectiveness of current therapies is declining as bacterial resistance increases. This case emphasizes the need for novel therapeutic approaches. A target-based method was used in this study to investigate the RNA 2'-O-methyltransferase MTr1/TrmD, an important enzyme involved in the pathogenic bacteria's cap-snatching mechanism. This post-translational modification is critical for bacterial pathogenicity, providing opportunities for the development of novel inhibitor compounds. Computational screening revealed numerous interesting small-molecule inhibitors that could efficiently limit MTr1 activity, resulting in antibacterial effects. Notably, Sinefungin, a recognized inhibitor, had a binding affinity of -7.2 kcal/mol, which was lower than the top three inhibitors tested: Molecule 45 (-8.7 kcal/mol), Molecule 55 (-8.5 kcal/mol), and Molecule 56 (-8.5 kcal/mol). Additional confirmation using molecular dynamics simulations indicated significant structural changes in the control-MTr1 complex, particularly at the transitions from loop to helix and helix to loop. The leading inhibitors, on the other hand, maintained stable connections with the active site residues throughout a 120 ns simulation. Binding free energy estimates (MM/PBSA and MM/GBSA), as well as water swap investigations, revealed that Molecule 56 had the highest binding affinity of the inhibitors studied. This is followed by waterswap analysis where the compound 56 remains the prominent one in terms of higher binding affinities. Hence, it has been found from computational studies that our inhibitors remain more static which will ease a way for experimentalists towards in vitro and in vivo studies. These findings indicate that the discovered compounds, particularly Molecule 56, have the potential for future in vitro and in vivo validation, paving the door for the development of novel antibacterial therapeutics against Haemophilus influenzae.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsEnzyme InhibitorsHaemophilus influenzaeMethyltransferasestRNA MethyltransferasesAdenosineMolecular Dynamics SimulationAdenosineAnti-Bacterial AgentsBacterial ProteinsEnzyme InhibitorsMethyltransferasessinefungintRNA Methyltransferases

Identifiers

PMID40875735
PMCPMC12393699

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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.