Evidence map›Paper›PMID 41766466›Full record

ArticleGenetics2026

Mutational landscape and molecular bases of echinocandin resistance in Saccharomyces cerevisiae.

Romain Durand, Alexandre G Torbey, Mathieu Giguere, Alicia Pageau, Alexandre K Dubé, Patrick Lagüe, Christian R Landry

Abstract read
In one paragraph

Article in Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Micafungin exposure drives multidrug resistance inbioRxiv : the preprint server for biology · 2026
    Article
  2. Deciphering the multidrug resistance paradigm inAntimicrobial agents and chemotherapy · 2026
    Review
  3. Article
  4. Article
  5. Tn-seq screens inmSphere · 2025
    Article
  6. 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

7 authors.

Romain DurandDépartement de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.ORCID 0000-0002-7681-4727
Alexandre G TorbeyPROTEO, Le Regroupement Québécois de Recherche sur la Fonction, L'Ingénierie et les Applications des Protéines, Université Laval, Québec G1V 0A6, Canada.
Mathieu GiguereDépartement de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.
Alicia PageauDépartement de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.
Alexandre K DubéDépartement de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.
Patrick LagüeDépartement de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.
Christian R LandryDépartement de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.ORCID 0000-0003-3028-6866

Funding

Canada Research Chair in Cellular Systems and Synthetic BiologyCIHR 387697Fonds de Recherche du Québec - SantéGenome Canada and Genome Quebec 6569Natural Sciences and Engineering Research Council of Canada RGPIN-2022-04721
6 · The paper itself

Abstract

One of the front-line drug classes used to treat invasive fungal infections is echinocandins, which target the fungal-specific beta-glucan synthase (Fks). Treatment failure due to resistance often coincides with mutations in 3 protein regions defined as hotspots. Unfortunately, the scarcity of the mutational data reported, combined with the large size and membrane-embedded nature of the enzyme hinder any effort to characterize genotype-phenotype links. Recent advances in solving the structure of Fks bring us one step closer to reliable predictions of the binding modes of each echinocandin. To help with that endeavor, we used molecular dynamics simulations to develop a membrane-embedded model of Fks that captures key structural and environmental features. Our results show that the 3 hotspots shape a single solvent-exposed binding cavity, hinting at the orientation and positioning of echinocandins. This structural framework is integrated with deep-mutational scanning to comprehensively assess the impact of mutations across the 3 hotspots in the model yeast Saccharomyces cerevisiae. We elucidate several key molecular bases of resistance to the 3 most widely used echinocandins; anidulafungin, caspofungin and micafungin and provide clues to better understand intrinsic resistance of critical fungal pathogens.

Indexed as

Antifungal AgentsDrug Resistance, FungalEchinocandinsGlucosyltransferasesMutationSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsMicafunginMolecular Dynamics SimulationAntifungal AgentsEchinocandinsGlucosyltransferasesMicafunginSaccharomyces cerevisiae Proteins

Identifiers

PMID41766466
PMCPMC13147539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.