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PARAS: high-accuracy machine-learning of substrate specificities in nonribosomal peptide synthetases
Abstract Nonribosomal peptides are chemically and functionally diverse natural products with important applications in medicine and agriculture. Bacterial and fungal genomes contain thousands of nonribosomal peptide biosynthetic gene clusters (BGCs) of unknown function, providing a promising resource for peptide discovery. Core structural features of such peptides can be inferred by predicting the substrate(s) of adenylation (A) domains in nonribosomal peptide synthetases (NRPSs).
Discovery and Derivatization of Tridecaptin Antibiotics with Altered Host Specificity and Enhanced Bioactivity
Download Hi-Res ImageDownload to MS-PowerPointCite This:ACS Chem. Biol. 2024, XXXX, XXX RETURN TO ARTICLES ASAPPREVArticleNEXT , Karol Al Ayed Biological Chemistry Group, Institute of Biology, Leiden University, Leiden 2333 BE, The Netherlands , Barbara R. Terlouw Bioinformatics Group, Wageningen University, Wageningen 6700 PB, The Netherlands , Chao Du Molecular Biotechnology, Institute of Biology, Leiden University, Leiden 2333 BE, The Netherlands , Ned P.
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