Neural Network Models for Predicting Solubility and Metabolism Class of Drugs in the Biopharmaceutics Drug Disposition Classification System (BDDCS).

Journal: European journal of drug metabolism and pharmacokinetics
PMID: 37864650

Abstract

BACKGROUND AND OBJECTIVE: The biopharmaceutics drug disposition classification system (BDDCS) categorizes drugs into four classes on the basis of their solubility and metabolism. This framework allows for the study of the pharmacokinetics of transporters and enzymatic metabolization on biopharmaceuticals, as well as drug-drug interactions in the body. The objective of the present study was to develop computational models by neural network models and structural parameters and physicochemical properties to estimate the class of a drug in the BDDCS system.

Authors

  • Aryan Ashrafi
    Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
  • Kiarash Teimouri
    Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Farnaz Aghazadeh
    Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Ali Shayanfar
    Faculty of Pharmacy, Tabriz University of Medical Science, Tabriz, Iran.

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