antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation

By Kai Blin, S. Shaw, Hannah E. Augustijn, Zachary L. Reitz, Friederike Biermann, Mohammad M. Alanjary, A. Fetter, B. Terlouw, William W. Metcalf, Eric J. N. Helfrich and 3 more. Nucleic Acids Res., 2023

1,643 citations recorded by the source corpus.

Abstract Microorganisms produce small bioactive compounds as part of their secondary or specialised metabolism. Often, such metabolites have antimicrobial, anticancer, antifungal, antiviral or other bio-activities and thus play an important role for applications in medicine and agriculture. In the past decade, genome mining has become a widely-used method to explore, access, and analyse the available biodiversity of these compounds. Since 2011, the ‘antibiotics and secondary metabolite analysis shell—antiSMASH’ (https://antismash.secondarymetabolites.org/) has supported researchers in their microbial genome mining tasks, both as a free to use web server and as a standalone tool under an OSI-approved open source licence. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in archaea, bacteria, and fungi. Here, we present the updated version 7 of antiSMASH. antiSMASH 7 increases the number of supported cluster types from 71 to 81, as well as containing improvements in the areas of chemical structure prediction, enzymatic assembly-line visualisation and gene cluster regulation.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/e2ff72baf28de0208fc6c7eab80200e0a53fc86f

Citations in the corpus