Evidence map›Paper›PMID 42170908›Full record

ArticleJournal of natural products2026

Systematic Assessment of the Impact of Targeted Selection Methods and Environment-Mimicking Culture Conditions on Fungal Natural Product Libraries.

Monica Ness, Karen L Wendt, Thilini Peramuna, Demetrius I Tillery, Jillian E Murray, Robert H Cichewicz, Laura-Isobel McCall

Abstract read
In one paragraph

Article in Journal of natural products, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Monica NessDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.
Karen L WendtDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.
Thilini PeramunaDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States.
Demetrius I TilleryDepartment of Chemistry and Biochemistry, San Diego State University, San Diego, California 92182, United States.
Jillian E MurrayCollege of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States.
Robert H CichewiczCollege of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States.
Laura-Isobel McCallDepartment of Chemistry and Biochemistry, San Diego State University, San Diego, California 92182, United States.ORCID 0000-0002-1243-8953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products are a rich source of bioactive molecules and undiscovered chemical scaffolds with significant potential for drug discovery. Among producers of natural products, fungi are particularly promising, offering diverse metabolites and undiscovered structural motifs. Large, well-curated collections of crude extracts, or "libraries", are central to fungal natural product discovery, serving as starting material for bioassay-guided isolation of new compounds. However, the systematic influence of fungal selection strategies, culturing methods, and environmental factors on chemical diversity remains underexplored. In this study, we analyzed several large fungal libraries to assess how geographic origin and phylogenetic classification shape fungal chemical profiles. We also evaluated whether culturing conditions that more closely mimic natural environments can enhance metabolite diversity. Our findings offer practical guidelines for optimizing fungal natural product library design, improving drug development efficiency and accessing novel chemotypes for future drug discovery.

Indexed as

Biological ProductsFungiDrug DiscoveryMolecular StructurePhylogenyBiological Products

Identifiers

PMID42170908
PMCPMC13316978

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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.