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DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Mixup augmentation instead of ERM | GIN on DrugOOD LBAP IC50 assay, scaffold, and size splits · DrugOOD LBAP IC50 OOD | AUROC: 71.98 (0.29) -> 71.34 (0.41); 69.54 (0.52) -> 69.87 (0.17); 67.48 (0.47) -> 67.73 (0.27) | No clear effect |
| Use IRM instead of ERM | GIN on DrugOOD LBAP IC50 · Assay, scaffold, and size OOD splits | AUROC: 71.98 (0.29) -> 69.22 (0.51); 67.48 (0.47) -> 57.00 (0.39); 68.74 (0.37) -> 59.99 (0.48) | Hurt |
| Use DeepCoral instead of ERM | GIN on DrugOOD LBAP IC50 · General-noise assay, scaffold, and size OOD splits | AUROC: 67.48 (0.47) -> 57.31 (0.44); 66.01 (0.14) -> 61.09 (0.23); 68.74 (0.37) -> 62.01 (0.38) | Hurt |
| Use DANN instead of ERM | GIN on DrugOOD LBAP IC50 · Core assay and scaffold OOD splits | AUROC: 71.98 (0.29) -> 70.08 (0.65); 69.88 (0.13) -> 65.12 (0.94) | Hurt |
| Use GroupDRO instead of ERM | GIN on DrugOOD LBAP IC50 · General-noise assay, scaffold, and size OOD splits | AUROC: 67.48 (0.47) -> 60.90 (1.23); 66.01 (0.14) -> 61.41 (0.10); 68.74 (0.37) -> 62.15 (0.54) | Hurt |
| Evaluate on OOD rather than in-distribution data | ERM on DrugOOD LBAP and SBAP · IC50 assay, size, and protein domains | AUROC: 89.62 (2.04) -> 71.98 (0.29); 92.35 (0.15) -> 67.48 (0.47); 90.71 (0.29) -> 68.87 (0.53) | Hurt |
Closest papers by meaning
- BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models (NeurIPS 2025 · similarity 0.88)
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