title: Ribosomally synthesized and post-translationally modified peptide natural product discovery in the genomic era.
abstract: In the past 15 years, the cost of sequencing a genome has plummeted. Consequently, the number of sequenced bacterial genomes has exponentially increased, and methods for natural product discovery have evolved rapidly to take advantage of the wealth of genomic data. This review highlights applications of genome mining software to compare and organize large-scale data sets and methods for identifying unique biosynthetic pathways amongst the thousands of ribosomally synthesized and post-translationally modified peptide (RiPP) gene clusters. We also discuss a small number of the many RiPPs discovered in the years 2014-2016.
authors.affiliation: Department of Chemistry and Howard Hughes Medical Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61822, USA.
authors.forename: Kenton J
authors.initials: KJ
authors.lastname: Hetrick
authors.affiliation: Department of Chemistry and Howard Hughes Medical Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61822, USA. Electronic address: vddonk@illinois.edu.
authors.forename: Wilfred A
authors.initials: WA
authors.lastname: van der Donk
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D001688:Biological Products / Q000737:chemistry / Q000378:metabolism*; D057225:Data Mining; D023281:Genomics / Q000379:methods*; D006801:Humans; D010455:Peptides / Q000737:chemistry / Q000378:metabolism*; D011499:Protein Processing, Post-Translational; D012270:Ribosomes / Q000235:genetics / Q000378:metabolism*
chemical_list: D001688:Biological Products; D010455:Peptides