ArticleNucleic acids research2020
MIBiG 2.0: a repository for biosynthetic gene clusters of known function.
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 373 papers.
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373 citing papers in PubMed.
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- Data Mining of Sediment Microbiomes of the Tibetan Plateau Revealed a Genomic Repository of Ancient Lineages and Adaptive Evolution of Asgardarchaeota.Research (Washington, D.C.) · 2026Article
- A metagenomic snapshot of metabolic potentials in wintertime eutrophic sediments of Lake Taihu inferred from metagenome-assembled genomes.Frontiers in microbiology · 2026Article
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313 more citing papers are in PubMed but not listed here.
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21 authors.
Funding
Abstract
Fueled by the explosion of (meta)genomic data, genome mining of specialized metabolites has become a major technology for drug discovery and studying microbiome ecology. In these efforts, computational tools like antiSMASH have played a central role through the analysis of Biosynthetic Gene Clusters (BGCs). Thousands of candidate BGCs from microbial genomes have been identified and stored in public databases. Interpreting the function and novelty of these predicted BGCs requires comparison with a well-documented set of BGCs of known function. The MIBiG (Minimum Information about a Biosynthetic Gene Cluster) Data Standard and Repository was established in 2015 to enable curation and storage of known BGCs. Here, we present MIBiG 2.0, which encompasses major updates to the schema, the data, and the online repository itself. Over the past five years, 851 new BGCs have been added. Additionally, we performed extensive manual data curation of all entries to improve the annotation quality of our repository. We also redesigned the data schema to ensure the compliance of future annotations. Finally, we improved the user experience by adding new features such as query searches and a statistics page, and enabled direct link-outs to chemical structure databases. The repository is accessible online at https://mibig.secondarymetabolites.org/.
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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.