Nucleic Acids Research · 2023 · 2.2K citations · 34 references
Life SciencesBiochemistryBioinformaticsDrug DiscoveryGenomicsStructural BioinformaticsChemical Space ExplorationMetabolite ProfilingAntibiotic DiscoveryBiosynthetic Gene Cluster AnalysisChemical PredictionChemical Structure VisualizationEnzymatic Assembly LinesGene Cluster RegulationGenome MiningSecondary Metabolite Analysis
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.
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Pfam: The protein families database in 2021
Jaina Mistry, Sara Chuguransky, Lowri Williams et al. · Nucleic Acids Research · 2020 · 7.8K citations · Full text
antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline
Kai Blin, Simon J. Shaw, Kat Steinke et al. · Nucleic Acids Research · 2019 · 3.1K citations · Full text
antiSMASH 6.0: improving cluster detection and comparison capabilities
Kai Blin, Simon J. Shaw, Alexander Kloosterman et al. · Nucleic Acids Research · 2021 · 2.7K citations · Full text