Evolution of ADME science: where else can modeling and simulation contribute?

Area of Science:

• Pharmacokinetics and Drug Metabolism
• Computational Chemistry
• Drug Discovery

Background:

• Advancements in modeling and simulation are crucial for understanding Absorption, Distribution, Metabolism, and Excretion (ADME) science.
• Lipoidal permeability is a key determinant of how drug molecules are distributed and processed by the body.

Purpose of the Study:

• To review progress in ADME modeling and simulation, focusing on lipoidal permeability.
• To discuss the interplay between experimental screening and in silico methods.
• To highlight challenges and offer solutions for improving multiparameter predictive models.

Main Methods:

• Review of current literature and practices in ADME modeling and simulation.
• Analysis of factors influencing drug transport and metabolism.
• Discussion of data quality and drug molecule classification issues.

Main Results:

• Lipoidal permeability significantly impacts drug disposition.
• There is a need to reconcile experimental screening with in silico predictions.
• Limitations exist in accurately modeling drug metabolism and enzyme interactions.
• Molecular features driving drug transport are identified.
• Data quality and classification imprecision pose challenges for predictive models.

Conclusions:

• Integrating modeling and simulation early in project lifecycles is recommended.
• Addressing data quality and model refinement is essential for reliable predictions.
• Further development is needed for complex systems like macromolecule-small molecule conjugate prodrugs.