Evidence map›Paper›PMID 41432360›Full record

ArticleProtein science : a publication of the Protein Society2026

Uncovering the structural impact of KatG Ser315 mutations in Mycobacterium tuberculosis via cryo-EM.

Thomas Allport, Amanda K Chaplin

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Thomas AllportDepartment of Molecular and Cell Biology, University of Leicester, Leicester Institute for Structural and Chemical Biology, Leicester, UK.
Amanda K ChaplinDepartment of Molecular and Cell Biology, University of Leicester, Leicester Institute for Structural and Chemical Biology, Leicester, UK.ORCID https://orcid.org/0000-0002-9606-8346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), is responsible for a global health burden affecting over a quarter of the world's population. The increasing prevalence of drug-resistant TB poses a significant threat to current treatment strategies. Isoniazid (INH) is a first-line prodrug used in TB therapy, which requires activation by the catalase-peroxidase enzyme KatG. Upon activation, INH inhibits InhA, thereby disrupting mycolic acid biosynthesis, a crucial process for maintaining Mtb's distinctive, lipid-rich cell wall. The most common naturally occurring resistance-associated mutation in KatG is S315T, though other variants at this position, such as S315G, S315N, S315I, and S315R, have also been reported. In this study, we employ cryo-electron microscopy (cryo-EM) to investigate the structural basis of INH resistance conferred by these KatG variants. We present high-resolution cryo-EM structures that reveal heterogeneity in heme loading among the mutants. Detailed structural analysis highlights alterations in the hydrogen-bonding network and substrate access channel unique to each variant, offering direct comparisons with the wild-type (WT) KatG protein. Our findings provide a molecular explanation for clinical INH resistance and lay the groundwork for the rational design of next-generation anti-TB therapeutics.

Indexed as

Bacterial ProteinsCatalaseMycobacterium tuberculosisAntitubercular AgentsCryoelectron MicroscopyDrug Resistance, BacterialIsoniazidModels, MolecularMutationAntitubercular AgentsBacterial ProteinsCatalaseIsoniazidkatG protein, Mycobacterium tuberculosiscatalasecryo‐EMhemeKatGperoxidase

Identifiers

PMID41432360
PMCPMC12724002

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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.