Authors
Satria A Kautsar, Kai Blin, Simon Shaw, Jorge C Navarro-Muñoz, Barbara R Terlouw, Justin JJ Van Der Hooft, Jeffrey A Van Santen, Vittorio Tracanna, Hernando G Suarez Duran, Victòria Pascal Andreu, Nelly Selem-Mojica, Mohammad Alanjary, Serina L Robinson, George Lund, Samuel C Epstein, Ashley C Sisto, Louise K Charkoudian, Jérôme Collemare, Roger G Linington, Tilmann Weber, Marnix H Medema
Publication date
2020/1/8
Journal
Nucleic acids research
Volume
48
Issue
D1
Pages
D454-D458
Publisher
Oxford University Press
Description
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 …
Total citations
202020212022202320246217016314158
Scholar articles
SA Kautsar, K Blin, S Shaw, JC Navarro-Muñoz… - Nucleic acids research, 2020