PRISM 3: expanded prediction of natural product chemical structures from microbial genomes.

ABSTRACT: Microbial natural products represent a rich resource of pharmaceutically and industrially important compounds. Genome sequencing has revealed that the majority of natural products remain undiscovered, and computational methods to connect biosynthetic gene clusters to their corresponding natural products therefore have the potential to revitalize natural product discovery. Previously, we described PRediction Informatics for Secondary Metabolomes (PRISM), a combinatorial approach to chemical structure prediction for genetically encoded nonribosomal peptides and type I and II polyketides. Here, we present a ground-up rewrite of the PRISM structure prediction algorithm to derive prediction of natural products arising from non-modular biosynthetic paradigms. Within this new version, PRISM 3, na

SUBMITTER: Skinnider MA 

PROVIDER: S-EPMC5570231 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature