Machine Learning Reveals Signatures of Promiscuous Microbial Amidases for Micropollutant Biotransformations.

ABSTRACT: Organic micropollutants, including pharmaceuticals, personal care products, pesticides, and food additives, are widespread in the environment, causing potentially toxic effects. Human waste is a direct source of micropollutants, with the majority of pharmaceuticals being excreted through urine. Urine contains its own microbiota with the potential to catalyze micropollutant biotransformations. Amidase signature (AS) enzymes are known for their promiscuous activity in micropollutant biotransformations, but the potential for AS enzymes from the urinary microbiota to transform micropollutants is not known. Moreover, the characterization of AS enzymes to identify key chemical and enzymatic features associated with biotransformation profiles is critical for developing benign-by-design chemicals

SUBMITTER: Marti TD 

PROVIDER: S-EPMC11741061 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature