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Virtual Screening on DUD-E 10 diverse targets

99.1Mean AUC1-NN Tanimoto
81.10885.77990.4595.121Apr 8, 2026

Evaluation results

MethodLinks
1-NN TanimotoType=No learning, Exploits structural bias=true2026.0499.1—
Per-target RFType=Fingerprint, Trained per-target on ChEMBL=true2026.0487.580
NESTDRUGType=GNN+FiLM2026.048520
3D-CNNType=3D CNN2026.0483—
GNN-VSType=GNN2026.0482.5—
AtomNetType=3D CNN2026.0481.8—