Exploration of Nonribosomal Peptide Families with an Automated Informatic Search Algorithm

Lian Yang, Ashraf Ibrahim, Chad W. Johnston, Michael A. Skinnider, Bin Ma, Nathan A. Magarvey

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Summary Microbial natural products are some of the most important pharmaceutical agents and possess unparalleled chemical diversity. Here we present an untargeted metabolomics algorithm that builds on our validated iSNAP platform to rapidly identify families of peptide natural products. By utilizing known or in silico-dereplicated seed structures, this algorithm screens tandem mass spectrometry data to elaborate extensive molecular families within crude microbial culture extracts with high confidence and statistical significance. Analysis of peptide natural product producers revealed an abundance of unreported congeners, revealing one of the largest families of natural products described to date, as well as a novel variant with greater potency. These findings demonstrate the effectiveness of the iSNAP platform as an accurate tool for rapidly profiling large families of nonribosomal peptides.

Original languageEnglish (US)
Pages (from-to)1259-1269
Number of pages11
JournalChemistry and Biology
Issue number9
StatePublished - Sep 17 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Drug Discovery
  • Molecular Medicine
  • Molecular Biology
  • Biochemistry
  • Clinical Biochemistry
  • Pharmacology


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