AI Article Synopsis

  • - Polyketides (PKs) and nonribosomal peptides (NRPs) are vital natural products and form the basis for many important therapies, with over 11,000 known structures identified through past research.
  • - While genome sequencing is revealing new PK and NRP gene clusters rapidly, only about 10% are linked to specific molecules, leaving many "orphan" clusters uncharacterized.
  • - The study introduces two new tools: the generalized retro-biosynthetic assembly prediction engine (GRAPE) and the global alignment for natural products cheminformatics (GARLIC), aimed at systematically identifying orphan gene clusters and predicting their associated molecules.

Article 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 ∼10% 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.

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Source
http://dx.doi.org/10.1038/nchembio.2188DOI Listing

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