Evidence map›Paper›PMID 40436978›Full record

ArticleScientific reports2025

Computational analysis of missense mutations in squalene epoxidase associated with terbinafine resistance in clinically reported dermatophytes.

Hussein R Mahmood, Masoomeh Shams-Ghahfarokhi, Mehdi Razzaghi-Abyaneh

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
  2. Frontiers in cellular and infection microbiology · 2026
    Article
  3. Article
4 · The record

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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

3 authors.

Hussein R MahmoodDepartment of Mycology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, 14115-331, Iran.
Masoomeh Shams-GhahfarokhiDepartment of Mycology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, 14115-331, Iran. shamsm@modares.ac.ir.
Mehdi Razzaghi-AbyanehDepartment of Mycology, Pasteur Institute of Iran, Tehran, 1316943551, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dermatophyte infections, as a significant public health threats, are increasingly associated with antifungal drug resistance, particularly to terbinafine. Mutations in the squalene epoxidase (SQLE) gene have been linked to resistance by altering amino acid residues and interfering with drug-protein interactions. This study applied computational tools including I-Mutant, ConSurf, HOPE, DynaMut2, STRING, and molecular docking to assess the structural and functional impact of clinically reported SQLE missense mutations in terbinafine-resistant dermatophyte isolates. Twelve out of fourteen mutations significantly reduced SQLE stability, with L393F, L393S, and F397L identified as the most destabilizing. ConSurf analysis revealed that residues F311, L393S, L393F, F397I, L437P, H440Y, and H440T were highly conserved, structurally buried, and essential for SQLE integrity, while V237I, F397L, and F415S were conserved but less critical. Notably, Q408L was identified as functionally significant and surface-exposed, underscoring its potential as a key contributor to resistance. Conserved regions were found to be more susceptible to functional disruption than non-conserved ones. HOPE analysis highlighted changes in size, charge, and hydrophobicity in the mutant residues, suggesting potential disruption of SQLE's functional architecture. Also, DynaMut2 analysis predicted decreased flexibility and stability in most mutants. Molecular docking identified altered binding pockets in four variants F397L, L437P, F415V, and Y394N compared to the wild-type, potentially compromising terbinafine binding. STRING network analysis revealed functional interactions between SQLE and ten proteins involved in ergosterol biosynthesis. These findings offer valuable molecular insights into terbinafine resistance mechanisms and identify conserved, mutation-sensitive sites that may guide antifungal drug development and resistance management strategies.

Indexed as

Antifungal AgentsArthrodermataceaeDrug Resistance, FungalMutation, MissenseSqualene MonooxygenaseTerbinafineComputational BiologyFungal ProteinsHumansMolecular Docking SimulationAntifungal AgentsFungal ProteinsSqualene MonooxygenaseTerbinafineComputational toolsDermatophytesSQLE mutationTerbinafine resistance

Identifiers

PMID40436978
PMCPMC12120062

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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.