BBBP (Blood-Brain Barrier Penetration)

홈페이지 · 논문 28편

The BBBP dataset comes from a study focused on modeling and predicting the permeability of the blood-brain barrier. The BBBP dataset contains binary labels indicating whether a compound can penetrate the blood-brain barrier (BBB) or not. Researchers use this dataset to develop and evaluate machine learning methods for predicting BBB permeability. It’s a critical task because understanding which compounds can cross the BBB is essential for drug discovery and designing therapeutics for neurological conditions. Check https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708321/

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