CNS Multiparameter Optimization Approach: Is it in Accordance with Occam's Razor Principle?

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Pharmacology

Background:

• Accurate classification of drugs targeting the central nervous system (CNS) is crucial for drug development.
• Existing methods may not fully capture the complex factors influencing CNS penetration.
• Multiparameter Optimization (MPO) offers a framework for evaluating multiple drug properties.

Purpose of the Study:

• To investigate the utility of Multiparameter Optimization (MPO) descriptors for classifying drugs as CNS-active or non-CNS-active.
• To assess the limitations of MPO in describing the full spectrum of chemical transport into the CNS.

Main Methods:

• Analysis of MPO descriptors relevant to chemical transport.
• Evaluation of MPO's ability to model transmembrane diffusion into the CNS.
• Development and assessment of CNS/non-CNS classification models using an "intuitive" MPO approach.

Main Results:

• MPO descriptors primarily capture the transmembrane diffusion component of CNS drug transport.
• The "intuitive" MPO approach, lacking rigorous chemometric procedures, resulted in limited classification accuracy.
• Arbitrary descriptor selection and threshold setting impacted model performance.

Conclusions:

• MPO descriptors alone are insufficient for comprehensive CNS drug classification.
• The current "intuitive" MPO approach demonstrates modest predictive power for CNS/non-CNS classification.
• Further development incorporating advanced chemometrics is needed to improve MPO-based CNS drug prediction.