Drug Metabolism: Genes, Interactions, And Tailored Therapies
*Corresponding Author:Received Date: Jun 17, 2026 / Published Date: Jul 15, 2026
Citation: Evans C (2026) Drug Metabolism: Genes, Interactions, And Tailored Therapies. cpb 15: 586.
Copyright: © 2026 Charlotte Evans This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Drug metabolism, primarily driven by cytochrome P450 (CYP) enzymes, is critical for drug efficacy and safety, with growing emphasis on drug-drug interactions (DDIs) and personalized dosing. Pharmacogenomics leverages genetic variations to predict indi vidual drug responses, optimizing therapy and minimizing toxicity. UGT enzymes and efflux transporters like P-gp also significantly impact drug metabolism and disposition. Disease states and environmental factors like diet can alter these processes, necessitat ing tailored approaches. Emerging technologies such as artificial intelligence and machine learning are enhancing the prediction of metabolic pathways and DDIs, paving the way for improved drug development and clinical decision-making.
