Decoding the Blood-Brain Barrier Permeation in CNS Drug Discovery: An Integrated Framework through High Fidelity Explainable ML and Low Dimensional Linear Discriminant Mapping

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Authors: Ashis Kumar Nandy, Samiron Phukan, Manjunath K. Ramarao
Cited by: 0

Abstract

our -anchored set (n = 154), our mechanismaligned LDA yields a direct, interpretable discriminant score (DF > 0.5) without surrogate explanations and maintains-aligned LDA yields a direct, interpretable discriminant score (DF > 0.5) without surrogate explanations and maintains performance on an external 741compound cohort, supporting broader -compound cohort, supporting broader chemicalspace-space generalization Our framework integrates prediction, interpretation, and prioritization to guide CNS medicinal chemistry workflow and provides a clear link between modelling and design of molecules.

Fields of Study & Subjects

Computational Drug Discovery Methods Barrier Structure and Function Studies Machine Learning in Materials Science

Publication details

Journal / source
ChemRxiv
Publication date
12 February 2026
Language
EN
Document type
Preprint