Predicting drug-metagenome interactions: Variation in the microbial β-glucuronidase level in the human gut metagenomes.

ABSTRACT: Characterizing the gut microbiota in terms of their capacity to interfere with drug metabolism is necessary to achieve drug efficacy and safety. Although examples of drug-microbiome interactions are well-documented, little has been reported about a computational pipeline for systematically identifying and characterizing bacterial enzymes that process particular classes of drugs. The goal of our study is to develop a computational approach that compiles drugs whose metabolism may be influenced by a particular class of microbial enzymes and that quantifies the variability in the collective level of those enzymes among individuals. The present paper describes this approach, with microbial β-glucuronidases as an example, which break down drug-glucuronide conjugates and reactivate the drugs or

SUBMITTER: Elmassry MM 

PROVIDER: S-EPMC7790408 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature