The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark.
Institute of Biology, Leiden University, Leiden, The Netherlands.
Nucleic Acids Res. 2021 Jul 2;49(W1):W29-W35. doi: 10.1093/nar/gkab335.
Many microorganisms produce natural products that form the basis of antimicrobials, antivirals, and other drugs. Genome mining is routinely used to complement screening-based workflows to discover novel natural products. 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 license. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in bacteria and fungi. Here, we present the updated version 6 of antiSMASH. antiSMASH 6 increases the number of supported cluster types from 58 to 71, displays the modular structure of multi-modular BGCs, adds a new BGC comparison algorithm, allows for the integration of results from other prediction tools, and more effectively detects tailoring enzymes in RiPP clusters.
许多微生物产生的天然产物是抗生素、抗病毒药物和其他药物的基础。基因组挖掘通常用于补充基于筛选的工作流程,以发现新的天然产物。自 2011 年以来,“抗生素和次级代谢产物分析外壳 - antiSMASH”(https://antismash.secondarymetabolites.org/)一直支持研究人员进行微生物基因组挖掘任务,既是一个免费使用的网络服务器,也是一个符合 OSI 标准的开源许可证的独立工具。它是目前用于检测和描述细菌和真菌中生物合成基因簇(BGC)的最广泛使用的工具。在这里,我们介绍了更新的版本 6 的 antiSMASH。antiSMASH 6 将支持的簇类型数量从 58 个增加到 71 个,显示了多模块 BGC 的模块化结构,添加了一个新的 BGC 比较算法,允许整合来自其他预测工具的结果,并更有效地检测 RiPP 簇中的修饰酶。