| Method: 3DCNN | Task: ATOM3D LEP-AUROC: Ligand efficacy prediction Dataset subset: ATOM3D LEP (ATOM3D split) | 0.589 auroc fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and source3DCNN on ATOM3D LEP-AUROC: Ligand efficacy prediction Trained and scored under the ATOM3D split for this task. Asterisks in the paper mark a run whose training data differed. Aggregation: Not reported ATOM3D: Tasks On Molecules in Three Dimensions · Table 5, row(LEP AUROC), column(3DCNN) |
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| Method: ENN | Task: ATOM3D LEP-AUROC: Ligand efficacy prediction Dataset subset: ATOM3D LEP (ATOM3D split) | 0.663 auroc fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceENN on ATOM3D LEP-AUROC: Ligand efficacy prediction Trained and scored under the ATOM3D split for this task. Asterisks in the paper mark a run whose training data differed. Aggregation: Not reported ATOM3D: Tasks On Molecules in Three Dimensions · Table 5, row(LEP AUROC), column(ENN) |
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| Method: GNN | Task: ATOM3D LEP-AUROC: Ligand efficacy prediction Dataset subset: ATOM3D LEP (ATOM3D split) | 0.681 auroc fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGNN on ATOM3D LEP-AUROC: Ligand efficacy prediction Trained and scored under the ATOM3D split for this task. Asterisks in the paper mark a run whose training data differed. Aggregation: Not reported ATOM3D: Tasks On Molecules in Three Dimensions · Table 5, row(LEP AUROC), column(GNN) |
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| Configuration: DeepDTA (ATOM3D baseline) (cited as [Öztürk et al., 2018]) | Task: ATOM3D LEP-AUROC: Ligand efficacy prediction Dataset subset: ATOM3D LEP (ATOM3D split) | 0.696 auroc fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceDeepDTA (ATOM3D baseline) on ATOM3D LEP-AUROC: Ligand efficacy prediction Trained and scored under the ATOM3D split for this task. Asterisks in the paper mark a run whose training data differed. Aggregation: Not reported ATOM3D: Tasks On Molecules in Three Dimensions · Table 5, row(LEP AUROC), column([Öztürk et al., 2018]) |
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