Evidence map›Paper›PMID 32826316›Full record

ArticleThe Journal of biological chemistry2020

Global analysis of adenylate-forming enzymes reveals β-lactone biosynthesis pathway in pathogenic

Serina L Robinson, Barbara R Terlouw, Megan D Smith, Sacha J Pidot, Timothy P Stinear, Marnix H Medema, Lawrence P Wackett

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
12.0field-weighted citation impact, top 2% of its field
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

31 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  5. Diversity of FAAL enzymes and prediction of their substrate specificity using FAALPred.Protein science : a publication of the Protein Society · 2026
    Article
  6. Review
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  8. Enzymatic carbon-fluorine bond cleavage by human gut microbes.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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 at 3 institutions in 3 countries.

Serina L RobinsonBioTechnology Institute, University of Minnesota, Saint Paul, Minnesota, USA; Graduate Program in Bioinformatics and Computational Biology, University of Minnesota, Rochester, Minnesota, USA; Graduate Program in Microbiology, Immunology, and Cancer Biology, University of Minnesota, Minneapolis, Minnesota, USA. Electronic address: robi0916@umn.edu.
Barbara R TerlouwBioinformatics Group, Wageningen University & Research, Wageningen, The Netherlands.
Megan D SmithBioTechnology Institute, University of Minnesota, Saint Paul, Minnesota, USA; Graduate Program in Microbiology, Immunology, and Cancer Biology, University of Minnesota, Minneapolis, Minnesota, USA.
Sacha J PidotDepartment of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, Victoria, Australia.
Timothy P StinearDepartment of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, Victoria, Australia.
Marnix H MedemaBioinformatics Group, Wageningen University & Research, Wageningen, The Netherlands.
Lawrence P WackettBioTechnology Institute, University of Minnesota, Saint Paul, Minnesota, USA; Graduate Program in Bioinformatics and Computational Biology, University of Minnesota, Rochester, Minnesota, USA; Graduate Program in Microbiology, Immunology, and Cancer Biology, University of Minnesota, Minneapolis, Minnesota, USA.
University of Minnesota · USThe University of Melbourne · AUWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymes that cleave ATP to activate carboxylic acids play essential roles in primary and secondary metabolism in all domains of life. Class I adenylate-forming enzymes share a conserved structural fold but act on a wide range of substrates to catalyze reactions involved in bioluminescence, nonribosomal peptide biosynthesis, fatty acid activation, and β-lactone formation. Despite their metabolic importance, the substrates and functions of the vast majority of adenylate-forming enzymes are unknown without tools available to accurately predict them. Given the crucial roles of adenylate-forming enzymes in biosynthesis, this also severely limits our ability to predict natural product structures from biosynthetic gene clusters. Here we used machine learning to predict adenylate-forming enzyme function and substrate specificity from protein sequences. We built a web-based predictive tool and used it to comprehensively map the biochemical diversity of adenylate-forming enzymes across >50,000 candidate biosynthetic gene clusters in bacterial, fungal, and plant genomes. Ancestral phylogenetic reconstruction and sequence similarity networking of enzymes from these clusters suggested divergent evolution of the adenylate-forming superfamily from a core enzyme scaffold most related to contemporary CoA ligases toward more specialized functions including β-lactone synthetases. Our classifier predicted β-lactone synthetases in uncharacterized biosynthetic gene clusters conserved in >90 different strains of

Indexed as

Adenosine MonophosphateCatalysisLactonesLigasesMachine LearningMultigene FamilyNocardiaPhylogenyReproducibility of ResultsSubstrate SpecificityAdenosine MonophosphateLactonesLigasesacetyl-CoA synthetaseadenylate-forming enzymesbioinformaticscoenzyme A (CoA)enzyme catalysismachine learningnatural product biosynthesisNocardiasubstrate specificityβ-lactone synthetases

Identifiers

PMID32826316
PMCPMC7606675
OpenAlexW3080408612

What OpenQuestion holds

Textmetadata
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.