Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching

Chris A. Dejong, Gregory M. Chen, Haoxin Li, Chad W. Johnston, McLean R. Edwards, Philip N. Rees, Michael A. Skinnider, Andrew L.H. Webster, Nathan A. Magarvey

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Polyketides (PKs) and nonribosomal peptides (NRPs) are profoundly important natural products, forming the foundations of many therapeutic regimes. Decades of research have revealed over 11,000 PK and NRP structures, and genome sequencing is uncovering new PK and NRP gene clusters at an unprecedented rate. However, only â 1/410% of PK and NRPs are currently associated with gene clusters, and it is unclear how many of these orphan gene clusters encode previously isolated molecules. Therefore, to efficiently guide the discovery of new molecules, we must first systematically de-orphan emergent gene clusters from genomes. Here we provide to our knowledge the first comprehensive retro-biosynthetic program, generalized retro-biosynthetic assembly prediction engine (GRAPE), for PK and NRP families and introduce a computational pipeline, global alignment for natural products cheminformatics (GARLIC), to uncover how observed biosynthetic gene clusters relate to known molecules, leading to the identification of gene clusters that encode new molecules.

Original languageEnglish (US)
Pages (from-to)1007-1014
Number of pages8
JournalNature Chemical Biology
Volume12
Issue number12
DOIs
StatePublished - Dec 1 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Cell Biology

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