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• W2010569979 abstract "Lanthipeptides are a class of ribosomally synthesised and post-translationally modified peptide (RiPP) natural products from the bacterial secondary metabolism. Their name is derived from the characteristic lanthionine or methyl-lanthionine residues contained in the processed peptide. Lanthipeptides that possess an antibacterial activity are called lantibiotics. Whereas multiple tools exist to identify lanthipeptide gene clusters from genomic data, no programs are available to predict the post-translational modifications of lanthipeptides, such as the proteolytic cleavage of the leader peptide part or tailoring modifications based on the analysis of the gene cluster sequence. antiSMASH is a software pipeline for the identification of secondary metabolite biosynthetic clusters from genomic input and the prediction of products produced by the identified clusters. Here we present a novel antiSMASH module using a rule-based approach to combine signature motifs for biosynthetic enzymes and lanthipeptide-specific cleavage site motifs to identify lanthipeptide clusters in genomic data, assign the specific lanthipeptide class, predict prepeptide cleavage, tailoring reactions, and the processed molecular weight of the mature peptide products." @default.
• W2010569979 created "2016-06-24" @default.
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• W2010569979 creator A5020093183 @default.
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• W2010569979 date "2014-02-20" @default.
• W2010569979 modified "2023-10-16" @default.
• W2010569979 title "Improved Lanthipeptide Detection and Prediction for antiSMASH" @default.
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• W2010569979 doi "https://doi.org/10.1371/journal.pone.0089420" @default.
• W2010569979 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3930743" @default.
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