Comprehensive prediction of secondary metabolite structure and biological activity from microbial genome sequences.

ABSTRACT: Novel antibiotics are urgently needed to address the looming global crisis of antibiotic resistance. Historically, the primary source of clinically used antibiotics has been microbial secondary metabolism. Microbial genome sequencing has revealed a plethora of uncharacterized natural antibiotics that remain to be discovered. However, the isolation of these molecules is hindered by the challenge of linking sequence information to the chemical structures of the encoded molecules. Here, we present PRISM 4, a comprehensive platform for prediction of the chemical structures of genomically encoded antibiotics, including all classes of bacterial antibiotics currently in clinical use. The accuracy of chemical structure prediction enables the development of machine-learning methods to predict the l

SUBMITTER: Skinnider MA 

PROVIDER: S-EPMC7699628 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature