antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification
Novo Nordisk Foundation · Technical University of Denmark · +9 more institutions
Abstract
Many antibiotics, chemotherapeutics, crop protection agents and food preservatives originate from molecules produced by bacteria, fungi or plants. In recent years, genome mining methodologies have been widely adopted to identify and characterize the biosynthetic gene clusters encoding the production of such compounds. Since 2011, the 'antibiotics and secondary metabolite analysis shell-antiSMASH' has assisted researchers in efficiently performing this, both as a web server and a standalone tool. Here, we present the thoroughly updated antiSMASH version 4, which adds several novel features, including prediction of gene cluster boundaries using the ClusterFinder method or the newly integrated CASSIS algorithm,…
Citation impact
- FWCI
- 151.79
- Percentile
- 100%
- References
- 36
Authors
18- KBKai Blin
Novo Nordisk Foundation, Technical University of Denmark
- TWThomas Wolf
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
- MGMarc G. Chevrette
University of Wisconsin–Madison
- XLXiaowen Lu
Wageningen University & Research
- CJChristopher J. Schwalen
University of Illinois Urbana-Champaign
Topics & keywords
- Biology
- Computational biology
- Polyketide synthase
- Gene
- Genome
- Gene cluster
- Adenylylation
- Natural product