Evidence map›Paper›PMID 42053168›Full record

ArticleJournal of natural products2026

BisCEET: A Visual Browser for Biosynthetic Gene Clusters Aiding in the Identification of Natural Product Variants and Distinct Tailoring Enzymes.

Sven T Sowa, Heiner G Weddeling, Robin Teufel

Abstract read
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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.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sven T SowaPharmaceutical Biology, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland.
Heiner G WeddelingPharmaceutical Biology, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland.ORCID 0009-0003-2819-1486
Robin TeufelPharmaceutical Biology, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland.ORCID 0000-0001-5863-7248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes involved in the biosynthesis of microbial natural products (NPs) are typically arranged in biosynthetic gene clusters (BGCs). Different congeners of an NP family typically possess distinct chemical features introduced by additional tailoring enzymes encoded in the corresponding BGC variants. However, tools to rapidly visualize the core gene set and distinguish it from variant-specific tailoring genes (VSTGs) in these BGCs are lacking. Here, the software tool BisCEET (Biosynthetic Cluster Environment Examination Tool) was developed, allowing comparison and visualization of the gene composition of related BGCs, thereby streamlining the identification of VSTGs in uncharacterized BGC variants and strains likely to produce novel NP congeners. The use of BisCEET is exemplified by analyzing bacterial BGCs of staurosporine-like indolocarbazoles and xantholipin-like polyketides, which enabled the identification of numerous apparent BGC variants. We anticipate that BisCEET will become a valuable bioinformatic asset, streamlining the prioritization of BGCs and the cultivation of microbial strains for the discovery of distinct NP variants and novel tailoring enzymes.

Indexed as

Biological ProductsMultigene FamilySoftwareComputational BiologyMolecular StructureBiological Products

Identifiers

PMID42053168
PMCPMC13200232

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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.