Musings on ADME predictions and structure-activity relations

Area of Science:

• Computational Chemistry
• Medicinal Chemistry
• Pharmacology

Background:

• Structure-Activity Relations (SARs) are crucial for understanding drug design and biological interactions.
• Traditional SAR analysis often overlooks the dynamic nature of molecular properties in different environments.
• Absorption, Distribution, Metabolism, and Excretion (ADME) properties are key determinants of drug efficacy and safety.

Purpose of the Study:

• To provide a general overview of Structure-Activity Relations (SARs) and their interpretations.
• To introduce and explore the concept of molecular-property space within SAR studies.
• To investigate the implications of molecular-property space for predicting compound behavior, particularly ADME properties.

Main Methods:

• Examination of various interpretations of statistically valid SARs: causal, contextual, fortuitous, and tautological.
• Introduction of the molecular-property space concept.
• Utilizing Molecular Dynamics (MD) simulations and Molecular Interaction Fields (MIF) computations for acetylcholine.

Main Results:

• Acetylcholine, despite its small size, exhibits a broad property space, including lipophilicity.
• Molecules can adapt their properties to interact effectively with their surrounding medium.
• The concept of molecular-property space offers a new perspective on SARs and ADME predictions.

Conclusions:

• Understanding molecular-property space is essential for a comprehensive view of SARs.
• The adaptability of molecular properties within their space influences interactions with biological systems.
• This framework enhances the prediction of compound behavior and optimization of drug candidates.