ArticleNAR genomics and bioinformatics2024
Synteruptor: mining genomic islands for non-classical specialized metabolite gene clusters.
Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Widespread genomic islands are hotspots of genome variations and mosaicism in giant viruses.Nature communications · 2026Article
- Combating Antibacterial Resistance: The Integrative Role of Artificial Intelligence in Bio-Based Product Development.Antibiotics (Basel, Switzerland) · 2026Review
- Determining biosynthetic gene cluster boundaries through comparative bioinformatics.Methods in enzymology · 2025Article
- CLOCI: unveiling cryptic fungal gene clusters with generalized detection.Nucleic acids research · 2024Article
- Prophage induction can facilitate the in vitro dispersal of multicellular Streptomyces structures.PLoS biology · 2024Article
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Authors and funding
17 authors.
Funding
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Abstract
Microbial specialized metabolite biosynthetic gene clusters (SMBGCs) are a formidable source of natural products of pharmaceutical interest. With the multiplication of genomic data available, very efficient bioinformatic tools for automatic SMBGC detection have been developed. Nevertheless, most of these tools identify SMBGCs based on sequence similarity with enzymes typically involved in specialised metabolism and thus may miss SMBGCs coding for undercharacterised enzymes. Here we present Synteruptor (https://bioi2.i2bc.paris-saclay.fr/synteruptor), a program that identifies genomic islands, known to be enriched in SMBGCs, in the genomes of closely related species. With this tool, we identified a SMBGC in the genome of
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Registered trials
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