ArticleNucleic acids research2020
IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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75 citing papers in PubMed.
- Large-scale discovery platform enables identification of peptides targeting drug-resistant candidiasis.Cell reports methods · 2026Article
- Tandem-sgRNA Provides an Effective Reverse Genetic Approach for Suppression of Streptomyces Biosynthetic Gene Clusters and Secondary Metabolism.ACS synthetic biology · 2026Article
- An integrative chemical and genomic similarity approach linking fungal secondary metabolites and biosynthetic gene clusters.Organic & biomolecular chemistry · 2026Article
- Seq2Saccharide: Discovering Oligosaccharides and Aminoglycosides Natural Products by Integrating Computational Mass Spectrometry and Genome Mining.Journal of the American Chemical Society · 2025Article
- Sequence modeling tools to decode the biosynthetic diversity of the human microbiome.mSystems · 2025Review
- Chemotype- and Target-Driven Genome Mining for a New Natural Product Inhibitor of Bacterial Peptide Deformylase.Journal of the American Chemical Society · 2025Article
- Characterization of a novel glycocin from a thermophile.bioRxiv : the preprint server for biology · 2025Article
- An integrated AI knowledge graph framework of bacterial enzymology and metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Deciphering the biosynthetic potential of microbial genomes using a BGC language processing neural network model.Nucleic acids research · 2025Article
- Interpretable adenylation domain specificity prediction using protein language models.bioRxiv : the preprint server for biology · 2025Article
- Determining biosynthetic gene cluster boundaries through comparative bioinformatics.Methods in enzymology · 2025Article
- Characterization of S-glycosylated glycocins containing three disulfides.Journal of industrial microbiology & biotechnology · 2024Article
- Primed for Discovery.Biochemistry · 2024Review
- Mining microbial and metabolic dark matter in extreme environments: a roadmap for harnessing the power of multi-omics data.Advanced biotechnology · 2024Review
- Mining biosynthetic gene clusters in Paenibacillus genomes to discover novel antibiotics.BMC microbiology · 2024Article
- Multi-omic analysis tools for microbial metabolites prediction.Briefings in bioinformatics · 2024Review
- Manipulation and epigenetic control of silent biosynthetic pathways in actinobacteria.World journal of microbiology & biotechnology · 2024Review
- ABC-HuMi: the Atlas of Biosynthetic Gene Clusters in the Human Microbiome.Nucleic acids research · 2024Article
- A Multi-Label Learning Framework for Predicting Chemical Classes and Biological Activities of Natural Products from Biosynthetic Gene Clusters.Journal of chemical ecology · 2023Article
- MariClus: Your One-Stop Platform for Information on Marine Natural Products, Their Gene Clusters and Producing Organisms.Marine drugs · 2023Article
15 more citing papers are in PubMed but not listed here.
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8 authors.
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Abstract
Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version.
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