<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kersten RD</submitter><funding>NCI NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>794-802</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3258187</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(11)</volume><pubmed_abstract>Peptide natural products show broad biological properties and are commonly produced by orthogonal ribosomal and nonribosomal pathways in prokaryotes and eukaryotes. To harvest this large and diverse resource of bioactive molecules, we introduce here natural product peptidogenomics (NPP), a new MS-guided genome-mining method that connects the chemotypes of peptide natural products to their biosynthetic gene clusters by iteratively matching de novo tandem MS (MS(n)) structures to genomics-based structures following biosynthetic logic. In this study, we show that NPP enabled the rapid characterization of over ten chemically diverse ribosomal and nonribosomal peptide natural products of previously unidentified composition from Streptomycete bacteria as a proof of concept to begin automating th</pubmed_abstract><journal>Nature chemical biology</journal><pubmed_title>A mass spectrometry-guided genome mining approach for natural product peptidogenomics.</pubmed_title><pmcid>PMC3258187</pmcid><funding_grant_id>GM085770</funding_grant_id><funding_grant_id>R01 GM085770</funding_grant_id><funding_grant_id>R37 CA044848</funding_grant_id><funding_grant_id>R01 GM086283</funding_grant_id><funding_grant_id>GM086283</funding_grant_id><pubmed_authors>Fischbach MA</pubmed_authors><pubmed_authors>Fenical W</pubmed_authors><pubmed_authors>Cimermancic P</pubmed_authors><pubmed_authors>Dorrestein PC</pubmed_authors><pubmed_authors>Kersten RD</pubmed_authors><pubmed_authors>Yang YL</pubmed_authors><pubmed_authors>Moore BS</pubmed_authors><pubmed_authors>Xu Y</pubmed_authors><pubmed_authors>Nam SJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A mass spectrometry-guided genome mining approach for natural product peptidogenomics.</name><description>Peptide natural products show broad biological properties and are commonly produced by orthogonal ribosomal and nonribosomal pathways in prokaryotes and eukaryotes. To harvest this large and diverse resource of bioactive molecules, we introduce here natural product peptidogenomics (NPP), a new MS-guided genome-mining method that connects the chemotypes of peptide natural products to their biosynthetic gene clusters by iteratively matching de novo tandem MS (MS(n)) structures to genomics-based structures following biosynthetic logic. In this study, we show that NPP enabled the rapid characterization of over ten chemically diverse ribosomal and nonribosomal peptide natural products of previously unidentified composition from Streptomycete bacteria as a proof of concept to begin automating th</description><dates><release>2011-01-01T00:00:00Z</release><publication>2011 Oct</publication><modification>2026-05-04T07:19:16.479Z</modification><creation>2026-04-07T20:14:48.032Z</creation></dates><accession>S-EPMC3258187</accession><cross_references><pubmed>21983601</pubmed><doi>10.1038/nchembio.684</doi></cross_references></HashMap>