Evidence map›Paper›PMID 38777733›Full record

ReviewTrends in molecular medicine2024

Interdisciplinary approaches for the discovery of novel antifungals.

Bonnie Yiu, Nicole Robbins, Leah E Cowen

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2024. 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

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

2 citing papers in PubMed.

  1. Review
  2. Echinocandin Adaptation inJournal of fungi (Basel, Switzerland) · 2025
    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

3 authors.

Bonnie YiuDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, M5G 1M1, Canada.
Nicole RobbinsDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, M5G 1M1, Canada.
Leah E CowenDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, M5G 1M1, Canada. Electronic address: leah.cowen@utoronto.ca.

Funding

Systematic Analysis of Morphogenesis, Commensalism, and Virulence in a Leading Human Fungal PathogenR01AI127375 · NIAID · UNIVERSITY OF TORONTO · PI LEAH Elizabeth Cowen · 2017 to 2026
$5.3M
Targeting Hsp90 in cryptococcal fungal pathogenesisR01AI165466 · NIAID · UNIVERSITY OF TORONTO · PI Lauren Elaine Brown, LEAH Elizabeth Cowen · 2022 to 2026
$3.2M
Targeting the casein kinase 1 (CK1)-like kinase Yck2 in fungal pathogenesisR01AI162789 · NIAID · UNIVERSITY OF TORONTO · PI LEAH Elizabeth Cowen, Timothy M Willson · 2022 to 2026
$3.1M
NIAID NIH HHS R01 AI127375NIAID NIH HHS R01 AI162789NIAID NIH HHS R01 AI165466
6 · The paper itself

Abstract

Pathogenic fungi are an increasing public health concern. The emergence of antifungal resistance coupled with the scarce antifungal arsenal highlights the need for novel therapeutics. Fortunately, the past few years have witnessed breakthroughs in antifungal development. Here, we discuss pivotal interdisciplinary approaches for the discovery of novel compounds with efficacy against diverse fungal pathogens. We highlight breakthroughs in improving current antifungal scaffolds, as well as the utility of compound combinations to extend the lifespan of antifungals. Finally, we describe efforts to refine candidate chemical scaffolds by leveraging structure-guided approaches, and the use of functional genomics to expand our knowledge of druggable antifungal targets. Overall, we emphasize the importance of interdisciplinary collaborations in the endeavor to develop innovative antifungal strategies.

Indexed as

Antifungal AgentsDrug DiscoveryFungiAnimalsDrug Resistance, FungalHumansMycosesAntifungal AgentsantifungalAspergillusCandidaCryptococcusfunctional genomicsstructure-guided drug design

Identifiers

PMID38777733
PMCPMC11987087

What OpenQuestion holds

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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.