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antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers

Microbial secondary metabolites are a potent source of antibiotics and other pharmaceuticals. Genome mining of their biosynthetic gene clusters has become a key method to accelerate their identification and characterization. In 2011, we developed antiSMASH, a web-based analysis platform that automat...

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Autores principales: Blin, Kai, Medema, Marnix H., Kazempour, Daniyal, Fischbach, Michael A., Breitling, Rainer, Takano, Eriko, Weber, Tilmann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692088/
https://www.ncbi.nlm.nih.gov/pubmed/23737449
http://dx.doi.org/10.1093/nar/gkt449
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author Blin, Kai
Medema, Marnix H.
Kazempour, Daniyal
Fischbach, Michael A.
Breitling, Rainer
Takano, Eriko
Weber, Tilmann
author_facet Blin, Kai
Medema, Marnix H.
Kazempour, Daniyal
Fischbach, Michael A.
Breitling, Rainer
Takano, Eriko
Weber, Tilmann
author_sort Blin, Kai
collection PubMed
description Microbial secondary metabolites are a potent source of antibiotics and other pharmaceuticals. Genome mining of their biosynthetic gene clusters has become a key method to accelerate their identification and characterization. In 2011, we developed antiSMASH, a web-based analysis platform that automates this process. Here, we present the highly improved antiSMASH 2.0 release, available at http://antismash.secondarymetabolites.org/. For the new version, antiSMASH was entirely re-designed using a plug-and-play concept that allows easy integration of novel predictor or output modules. antiSMASH 2.0 now supports input of multiple related sequences simultaneously (multi-FASTA/GenBank/EMBL), which allows the analysis of draft genomes comprising multiple contigs. Moreover, direct analysis of protein sequences is now possible. antiSMASH 2.0 has also been equipped with the capacity to detect additional classes of secondary metabolites, including oligosaccharide antibiotics, phenazines, thiopeptides, homo-serine lactones, phosphonates and furans. The algorithm for predicting the core structure of the cluster end product is now also covering lantipeptides, in addition to polyketides and non-ribosomal peptides. The antiSMASH ClusterBlast functionality has been extended to identify sub-clusters involved in the biosynthesis of specific chemical building blocks. The new features currently make antiSMASH 2.0 the most comprehensive resource for identifying and analyzing novel secondary metabolite biosynthetic pathways in microorganisms.
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spelling pubmed-36920882013-06-25 antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers Blin, Kai Medema, Marnix H. Kazempour, Daniyal Fischbach, Michael A. Breitling, Rainer Takano, Eriko Weber, Tilmann Nucleic Acids Res Articles Microbial secondary metabolites are a potent source of antibiotics and other pharmaceuticals. Genome mining of their biosynthetic gene clusters has become a key method to accelerate their identification and characterization. In 2011, we developed antiSMASH, a web-based analysis platform that automates this process. Here, we present the highly improved antiSMASH 2.0 release, available at http://antismash.secondarymetabolites.org/. For the new version, antiSMASH was entirely re-designed using a plug-and-play concept that allows easy integration of novel predictor or output modules. antiSMASH 2.0 now supports input of multiple related sequences simultaneously (multi-FASTA/GenBank/EMBL), which allows the analysis of draft genomes comprising multiple contigs. Moreover, direct analysis of protein sequences is now possible. antiSMASH 2.0 has also been equipped with the capacity to detect additional classes of secondary metabolites, including oligosaccharide antibiotics, phenazines, thiopeptides, homo-serine lactones, phosphonates and furans. The algorithm for predicting the core structure of the cluster end product is now also covering lantipeptides, in addition to polyketides and non-ribosomal peptides. The antiSMASH ClusterBlast functionality has been extended to identify sub-clusters involved in the biosynthesis of specific chemical building blocks. The new features currently make antiSMASH 2.0 the most comprehensive resource for identifying and analyzing novel secondary metabolite biosynthetic pathways in microorganisms. Oxford University Press 2013-07 2013-05-21 /pmc/articles/PMC3692088/ /pubmed/23737449 http://dx.doi.org/10.1093/nar/gkt449 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Articles
Blin, Kai
Medema, Marnix H.
Kazempour, Daniyal
Fischbach, Michael A.
Breitling, Rainer
Takano, Eriko
Weber, Tilmann
antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
title antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
title_full antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
title_fullStr antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
title_full_unstemmed antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
title_short antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
title_sort antismash 2.0—a versatile platform for genome mining of secondary metabolite producers
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692088/
https://www.ncbi.nlm.nih.gov/pubmed/23737449
http://dx.doi.org/10.1093/nar/gkt449
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