Evidence map›Paper›PMID 40651823›Full record

ArticleMethods in enzymology2025

Plant genome mining of burpitides from fused precursor peptides.

Derrick A Ousley, Xiaofeng Wang, Lisa S Mydy, Roland D Kersten

Abstract read
In one paragraph

Article in Methods in enzymology, 2025. 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

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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. Article
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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

4 authors.

Derrick A OusleyDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, United States.
Xiaofeng WangDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, United States.
Lisa S MydyDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, United States.
Roland D KerstenDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI, United States. Electronic address: rkersten@umich.edu.

Funding

Discovery, Biosynthesis and Engineering of Side-Chain-Macrocyclic Plant PeptidesR35GM146934 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Roland David Kersten · 2022 to 2026
$1.8M
NIGMS NIH HHS R35 GM146934
6 · The paper itself

Abstract

Plants produce a large diversity of natural products while having some of the largest genomes found in nature. With increasing plant genomic resources, genome mining can uncover new natural product chemistry hidden in complex plant metabolomes guided by biosynthetic gene predictions. A growing class of plant natural products, for which genome mining is an effective discovery strategy, are a recently defined plant peptide class called burpitides. Burpitides are ribosomally synthesized and posttranslationally modified peptides (RiPP) which contain crosslinks between tryptophan or tyrosine and other amino acid side chains or the peptide backbone. These class-defining posttranslational modifications are formed by BURP-domain-containing proteins (named after their founding members) called burpitide cyclases. Burpitide cyclases can include the core peptide motif, i.e. the sequence of the final RiPP natural product, encoded in the same polypeptide as the BURP domain in so-called fused or autocatalytic burpitide cyclases. Therefore, fused burpitide cyclases enable prediction of candidate burpitide chemotypes from genome-derived BURP-domain gene sequences. Here, we outline a genome mining approach for fused burpitide cyclase products via bioinformatic structural prediction, peptide chemotyping, biosynthetic confirmation and structure elucidation.

Indexed as

Genome, PlantPeptidesPlant ProteinsAmino Acid SequenceData MiningGenomicsProtein Processing, Post-TranslationalPeptidesPlant ProteinsBurpitidePlant genome miningPlant peptide

Identifiers

PMID40651823
PMCPMC12865916

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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.