Evidence map›Paper›PMID 40904170›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Unravelling the Functional Diversity of Type III Polyketide Synthases in Fungi.

Nika Sokolova, Stepan S Denisov, Thomas Hackl, Kristina Haslinger

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Unravelling the Functional Diversity of Type III Polyketide Synthases in Fungi.Angewandte Chemie (International ed. in English) · 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

4 authors.

Nika SokolovaDepartment of Chemical and Pharmaceutical Biology, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands.ORCID 0000-0003-4129-2890
Stepan S DenisovInstitute of Biological Chemistry, University of Vienna, Währinger Straße 38, Vienna, 1090, Austria.ORCID 0000-0001-5460-940X
Thomas HacklGroningen Institute for Evolutionary Life Sciences, University of Groningen, Nijenborgh 7, Groningen, 9747 AG, The Netherlands.ORCID 0000-0002-0022-320X
Kristina HaslingerDepartment of Chemical and Pharmaceutical Biology, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands.ORCID 0000-0003-1361-1508

Funding

European Union's Horizon 2020 Marie Skłodowska-Curie grant 101152560European Union's Horizon 2020 research and innovation programmeMarie Skłodowska-Curie grant 893122
6 · The paper itself

Abstract

Type III polyketide synthases (T3PKSs) are enzymes that produce diverse compounds of ecological and clinical importance. While well-studied in plants, only a handful of T3PKSs from fungi have been characterised to date. Here, we developed a comprehensive workflow for kingdom-wide characterisation of T3PKSs. Using publicly available genomes, we mined more than 1000 putative enzymes and analysed their active site architecture and genomic neighbourhood. From there, we selected 37 representative PKS candidates for cell-free expression and prototyping with a diverse set of Coenzyme A activated substrates, revealing unique patterns in substrate and cyclisation specificity, as well as the preferred number of malonyl-Coenzyme A extensions. Using the 341 enzyme-substrate pairs generated in this study, we trained a machine learning model to predict T3PKS substrate specificity and experimentally validated it with an extended panel of non-natural substrates. In addition, we applied the model to identify two more promiscuous T3PKSs from fungi. We anticipate that the ML model will be useful for in silico screening of T3PKSs, while the insight into the product scope of these enzymes offers interesting starting points for further exploration.

Indexed as

FungiPolyketide SynthasesCatalytic DomainMachine LearningSubstrate SpecificityPolyketide SynthasesBiocatalysisFungiGenome miningMachine learningPolyketides

Identifiers

PMID40904170
PMCPMC12559476

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.