Breaking the Barriers: Machine-Learning-Based c‑RASAR Approach for Accurate Blood–Brain Barrier Permeability Prediction

The intricate nature of the blood–brain barrier (BBB) poses a significant challenge in predicting drug permeability, which is crucial for assessing central nervous system (CNS) drug efficacy and safety. This research utilizes an innovative approach, the classification read-across structure–activity...

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