Drug Discovery

Predicting molecular properties and drug interactions.

1
Datasets
3
Results
ROC-AUC
Canonical metric
Canonical Benchmark

MoleculeNet BBBP

Blood-Brain Barrier Penetration dataset from MoleculeNet — binary classification of ~2000 compounds for barrier permeability. Scaffold split.

Primary metric: ROC-AUC
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Top 10

Leading models on MoleculeNet BBBP.

RankModelROC-AUCYearSource
1
GROVER-Large
0.9402026paper
2
D-MPNN (ChemProp)
0.9132026paper
3
MolCLR
0.7362026paper

All datasets

1 dataset tracked for this task.

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