MIBiG 2.0: a repository for biosynthetic gene clusters of known function

By S. Kautsar, Kai Blin, S. Shaw, J. Navarro-Muñoz, B. Terlouw, J. V. D. van der Hooft, Jeffrey A. van Santen, Vittorio Tracanna, Hernando G Suarez Duran, Victória Pascal Andreu and 11 more. Nucleic Acids Res., 2019

537 citations recorded by the source corpus.

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/.

Subfields: Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/19d8c4e7bd323674ca002212ebb4406f571532e9

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Citations in the corpus

antiSMASH 6.0: improving cluster detection and comparison capabilities (2021, methodology): “…gene Clusters IMG-ABC (21), the MicroScope platform for microbial genome annotation and analysis (22), the MIBiG database of manually curated BGCs (23), the BGC family database BiG-FAM (24), and, of course, the antiSMASH database (25). antiSMASH uses a rule-based approach to identify many…”
MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters (2022, methodology): “To this purpose, we developed the Minimum Information about a Biosynthetic Gene cluster (MIBiG) standard and built a database which contains standardised entries for experimentally validated BGCs of known function (7,8).”
Artificial Intelligence For Natural Product Drug Discovery (2023, background): “Several of the larger natural product data repositories, including Minimum Information about a Biosynthetic Gene cluster (MIBiG) 169 , the Natural Products Atlas (NP Atlas) 170,171 , Global Natural Product Social Molecular Networking (GNPS) 172 , Natural Products Magnetic Resonance Database…”