MIBiG 2.0

MIBiG 2.0 provides a curated repository of biosynthetic gene clusters (BGCs) of known function to support genome mining and the characterization of specialized metabolite biosynthesis.


Key Features:

  • Curated BGC collection: Contains 851 newly added BGCs and extensive manual curation to improve annotation quality across entries.
  • Schema refinement: Uses a redesigned data schema aligned with JSON Schema Draft V7 to standardize and validate BGC annotations.
  • REST API layer: Provides a REST API layer for programmatic access to BGC records and integration into computational workflows.
  • Minimum Information standard: Adheres to the Minimum Information about a Biosynthetic Gene Cluster (MIBiG) Data Standard to ensure completeness and required metadata for curated BGCs.

Scientific Applications:

  • Drug discovery: Enables identification and comparison of known BGCs to support discovery and characterization of specialized metabolite biosynthetic pathways relevant to drug discovery.
  • Genome mining and pathway characterization: Supports genome mining by providing reference BGCs to interpret the function and novelty of candidate clusters.
  • Microbial ecology and microbiome research: Facilitates studies of microbial ecology and microbiome-associated specialized metabolite production by providing annotated BGCs of known function.

Methodology:

Rigorous manual data curation, schema redesign aligning annotations to JSON Schema Draft V7, and implementation of a REST API layer.

Topics

Details

License:
Apache-2.0
Tool Type:
command-line tool
Added:
1/9/2020
Last Updated:
12/28/2020

Operations

Publications

Kautsar SA, Blin K, Shaw S, Navarro-Muñoz JC, Terlouw BR, van der Hooft JJJ, van Santen JA, Tracanna V, Suarez Duran HG, Pascal Andreu V, Selem-Mojica N, Alanjary M, Robinson SL, Lund G, Epstein SC, Sisto AC, Charkoudian LK, Collemare J, Linington RG, Weber T, Medema MH. MIBiG 2.0: a repository for biosynthetic gene clusters of known function. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz882. PMID:31612915. PMCID:PMC7145714.

PMID: 31612915
Funding: - Netherlands Organization for Scientific Research: 863.15.002 - National Science Foundation: CHE-1652424 - NSF GRF: 00039202 - Novo Nordisk Foundation: NNF10CC1016517, NNF16OC0021746 - Netherlands eScience Center: ASDI.2017.030 - National Institutes of Health: U41-AT008718

Links