antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

T. Weber*, K. Blin, S. Duddela, D. Krug, H.U. Kim, R. Bruccoleri, S.Y. Lee, M.A. Fischbach, R. Müller, W. Wohlleben, R. Breitling, E. Takano, M.H. Medema*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1476 Citations (Scopus)


Microbial secondary metabolism constitutes a rich source of antibiotics, chemotherapeutics, insecticides and other high-value chemicals. Genome mining of gene clusters that encode the biosynthetic pathways for these metabolites has become a key methodology for novel compound discovery. In 2011, we introduced antiSMASH, a web server and stand-alone tool for the automatic genomic identification and analysis of biosynthetic gene clusters, available at Here, we present version 3.0 of antiSMASH, which has undergone major improvements. A full integration of the recently published ClusterFinder algorithm now allows using this probabilistic algorithm to detect putative gene clusters of unknown types. Also, a new dereplication variant of the ClusterBlast module now identifies similarities of identified clusters to any of 1172 clusters with known end products. At the enzyme level, active sites of key biosynthetic enzymes are now pinpointed through a curated pattern-matching procedure and Enzyme Commission numbers are assigned to functionally classify all enzyme-coding genes. Additionally, chemical structure prediction has been improved by incorporating polyketide reduction states. Finally, in order for users to be able to organize and analyze multiple antiSMASH outputs in a private setting, a new XML output module allows offline editing of antiSMASH annotations within the Geneious software.
Original languageEnglish
Pages (from-to)W237-W243
JournalNucleic acids research
Issue numberW1
Publication statusPublished - 2015


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