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Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
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Phase II biotransformation reactions are essential for detoxifying and eliminating xenobiotics, including many pharmaceutical compounds. These reactions typically involve conjugation, the covalent attachment of polar endogenous groups such as glucuronic acid, sulfate, methyl, or acetyl moieties to functional groups introduced during Phase I metabolism. The resulting conjugates are more water-soluble, enabling efficient renal or biliary excretion.The major classes of Phase II enzymes include...
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Phase II Reactions: Glucuronidation01:24

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Glucuronidation, a pivotal phase II biotransformation process, involves the coupling of glucuronic acid to a drug or xenobiotic. Given its widespread occurrence and critical role in drug metabolism, it's considered the most crucial phase II reaction. It enhances the water solubility of substances, aiding their expulsion from the body. The driving force behind these reactions is a group of enzymes known as UDP-glucuronosyltransferases (UGTs). UGTs facilitate the transfer of a glucuronic acid...
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Biotransformation, also known as drug metabolism, is a vital physiological process that chemically alters drugs, facilitating their elimination from the body and terminating their action. This process involves two main phases: phase I and phase II reactions. Phase I reactions, including oxidation, reduction, and hydrolysis, introduce or unmask polar functional groups on the drug molecule, thereby increasing its water solubility. By enhancing water solubility, the drug becomes more hydrophilic...
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A simple model predicts UGT-mediated metabolism.

Na Le Dang1, Tyler B Hughes1, Varun Krishnamurthy1

  • 1Department of Pathology and Immunology, Washington University School of Medicine, Campus Box 8118, 660 S. Euclid Ave, St. Louis, MO 63110, USA.

Bioinformatics (Oxford, England)
|June 22, 2016
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Summary
This summary is machine-generated.

This study introduces XenoSite, a computational tool predicting UGT-mediated drug metabolism sites. It accurately identifies glucuronidation sites on drug molecules, aiding drug development.

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Area of Science:

  • Pharmacology and Drug Metabolism
  • Computational Chemistry
  • Bioinformatics

Background:

  • Uridine diphosphate glucuronosyltransferases (UGTs) are crucial enzymes responsible for metabolizing approximately 15% of FDA-approved drugs.
  • Understanding UGT-mediated drug metabolism is essential for effective lead optimization in drug discovery.

Purpose of the Study:

  • To develop and present a computational method for predicting sites of UGT-mediated metabolism on drug-like molecules.
  • To provide a tool that aids in understanding how candidate drugs are metabolized by UGTs.

Main Methods:

  • Development of a computational method, XenoSite, for predicting UGT-mediated metabolism.
  • Validation of the method using known glucuronidation sites and atypical metabolism sites.

Main Results:

  • XenoSite achieves 86% Top-1 and 97% Top-2 accuracy in predicting glucuronidation sites.
  • The model accurately predicts metabolism at common sites (e.g., hydroxyl groups) and atypical sites (e.g., carbons).
  • A simpler heuristic model demonstrates comparable accuracy (80% Top-1, 91% Top-2) and identifies challenging prediction cases.

Conclusions:

  • The developed UGT metabolism predictor is more generally applicable, accurate, and simpler than prior methods.
  • The tool facilitates drug metabolism prediction, supporting lead optimization and drug development efforts.