Toward a Mechanistic Framework for Intestinal Drug Permeability: Integrating In Silico Modeling with Biorelevant...

Area of Science:

• Pharmaceutical Sciences
• Computational Chemistry
• Drug Discovery

Background:

• Predicting oral bioavailability is a critical challenge in drug development.
• Traditional models lack mechanistic insight, while advanced simulations require extensive validation.
• Biorelevant assays offer biological endpoints but limited mechanistic detail.

Purpose of the Study:

• To systematically evaluate existing methods for predicting oral bioavailability.
• To propose an integrated framework combining molecular dynamics (MD) simulations and experimental validation.
• To provide a mechanistic workflow for resolving discrepancies in pharmacokinetic profiles.

Main Methods:

• Systematic review of quantitative structure-property relationship (QSAR) models and molecular simulations.
• Development of a multiscale MD modeling framework.
• Hierarchical experimental validation using biorelevant assays.
• Case study using a molecule with high predicted permeability and metabolic instability.

Main Results:

• Disparate approaches (QSAR, MD, biorelevant assays) have distinct strengths and limitations.
• An integrated framework synergistically combines physical resolution of MD with biological relevance of experiments.
• A mechanistic workflow was demonstrated to resolve pharmacokinetic discrepancies.

Conclusions:

• The proposed integrated approach enhances mechanistic deconstruction of drug behavior.
• This framework transforms validation from a binary outcome into a diagnostic tool.
• It guides the rational design of next-generation orally bioavailable therapeutics.