Computational Modeling of Drug Oral Bioavailability

Lon W.R. Fong, Beibei Huang, Rajan Chaudhari, Shuxing Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The oral bioavailability of a drug is a critical factor in determining its therapeutic efficacy. Computational modeling approaches have emerged as valuable tools for predicting drug bioavailability, becoming crucial throughout the pipeline of drug discovery and development. This chapter presents an overview of computational modeling techniques employed in the study of drug bioavailability, especially focusing on physiologically based pharmacokinetic (PBPK) modeling and the latest technologies of machine learning and artificial intelligence. We conclude that in silico prediction of bioavailability is one of the areas that has seen significant technical improvements in recent years, and continued advances in state-of-the-art technologies such as artificial intelligence will enable more accurate and reliable prediction of drug bioavailability.

Original languageEnglish (US)
Title of host publicationOral Bioavailability and Drug Delivery
Subtitle of host publicationFrom Basics to Advanced Concepts and Applications
Publisherwiley
Pages843-856
Number of pages14
ISBN (Electronic)9781119660699
ISBN (Print)9781119660651
DOIs
StatePublished - Jan 1 2023

ASJC Scopus subject areas

  • General Medicine
  • General Pharmacology, Toxicology and Pharmaceutics
  • General Chemistry
  • General Chemical Engineering
  • General Biochemistry, Genetics and Molecular Biology

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