Year: 2015
Type: article
Abstract: 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 http://antismash.secondarymetabolites.org. 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.
Source: Nucleic Acids Research
DOI: 10.1093/nar/gkv437
Institutions: Novo Nordisk Foundation, Technical University of Denmark, Helmholtz Centre for Infection Research, Helmholtz Institute for Pharmaceutical Research Saarland, Saarland University, German Center for Infection Research, Korea Advanced Institute of Science and Technology, Congenomics (United States), QB3, University of California, San Francisco, University of Tübingen, University of Manchester, Max Planck Institute for Marine Microbiology, Wageningen University & Research
Language: English
Subfield: Pharmacology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,992
Funders: Deutsches Zentrum für Infektionsforschung, National Research Foundation, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Ministry of Science, ICT and Future Planning, Novo Nordisk, Novo Nordisk Fonden, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council
OpenAlex ID: W1908709110
