Explaining blood-brain barrier permeability by synergistic effect on molecular substructures

Hyeok Jae Lee1, Ikhyeong Jun1, Hyun Woo Kim2

  • 1Department of Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.

PubMed
Summary

This study introduces an explainable machine learning model to predict blood-brain barrier (BBB) permeability. The model identifies synergistic molecular substructures, aiding in the design of central nervous system (CNS) drug candidates.

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