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antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation
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 decad...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320115/ https://www.ncbi.nlm.nih.gov/pubmed/37140036 http://dx.doi.org/10.1093/nar/gkad344 |
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author | Blin, Kai Shaw, Simon Augustijn, Hannah E Reitz, Zachary L Biermann, Friederike Alanjary, Mohammad Fetter, Artem Terlouw, Barbara R Metcalf, William W Helfrich, Eric J N van Wezel, Gilles P Medema, Marnix H Weber, Tilmann |
author_facet | Blin, Kai Shaw, Simon Augustijn, Hannah E Reitz, Zachary L Biermann, Friederike Alanjary, Mohammad Fetter, Artem Terlouw, Barbara R Metcalf, William W Helfrich, Eric J N van Wezel, Gilles P Medema, Marnix H Weber, Tilmann |
author_sort | Blin, Kai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10320115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103201152023-07-06 antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation Blin, Kai Shaw, Simon Augustijn, Hannah E Reitz, Zachary L Biermann, Friederike Alanjary, Mohammad Fetter, Artem Terlouw, Barbara R Metcalf, William W Helfrich, Eric J N van Wezel, Gilles P Medema, Marnix H Weber, Tilmann Nucleic Acids Res Web Server Issue 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. Oxford University Press 2023-05-04 /pmc/articles/PMC10320115/ /pubmed/37140036 http://dx.doi.org/10.1093/nar/gkad344 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Blin, Kai Shaw, Simon Augustijn, Hannah E Reitz, Zachary L Biermann, Friederike Alanjary, Mohammad Fetter, Artem Terlouw, Barbara R Metcalf, William W Helfrich, Eric J N van Wezel, Gilles P Medema, Marnix H Weber, Tilmann antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
title | antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
title_full | antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
title_fullStr | antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
title_full_unstemmed | antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
title_short | antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
title_sort | antismash 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320115/ https://www.ncbi.nlm.nih.gov/pubmed/37140036 http://dx.doi.org/10.1093/nar/gkad344 |
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