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RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist

NeurIPS 2020 · Probabilistic and scientific modeling › Molecules and proteins · approach: Graph models for retrosynthesis · 51 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Decompose retrosynthesis into reaction-center identification and reactant generationRetroXpert · USPTO-50K, reaction type givenTop-1 accuracy: 63.2 -> 70.4Helped
Decompose retrosynthesis into reaction-center identification and reactant generationRetroXpert · USPTO-50K, reaction type unknownTop-1 accuracy: 52.6 -> 65.6Helped
Use edge-enhanced attention (ablation)EGAT · USPTO-50K, reaction type givenEGAT bond disconnection accuracy: 85.7 -> 86.0Helped
Use edge-enhanced attention (ablation)EGAT · USPTO-50K, reaction type unknownEGAT bond disconnection accuracy: 64.3 -> 64.9Helped
Add the auxiliary task predicting the number of disconnection bonds (ablation)EGAT · USPTO-50K, reaction type givenEGAT bond disconnection accuracy: 74.4 -> 86.0Helped
Add the auxiliary task predicting the number of disconnection bonds (ablation)EGAT · USPTO-50K, reaction type unknownEGAT bond disconnection accuracy: 51.5 -> 64.9Helped
Add semi-templates (ablation)EGAT · USPTO-50K, reaction type givenEGAT bond disconnection accuracy: 84.0 -> 86.0Helped
Add semi-templates (ablation)EGAT · USPTO-50K, reaction type unknownEGAT bond disconnection accuracy: 59.9 -> 64.9Helped
Train RGN with unsuccessful-synthon augmentation (ablation)RGN · USPTO-50K, reaction type given, ground-truth synthonsTop-1 accuracy: 72.9 -> 73.4Helped
Train RGN with unsuccessful-synthon augmentation (ablation)RGN · USPTO-50K, reaction type unknown, ground-truth synthonsTop-1 accuracy: 71.9 -> 70.9Hurt
Use both training augmentation and predicted-synthon test inputs (ablation)RetroXpert · USPTO-50K, reaction type givenTop-1 accuracy: 63.5 -> 70.4Helped
Use both training augmentation and predicted-synthon test inputs (ablation)RetroXpert · USPTO-50K, reaction type unknownTop-1 accuracy: 48.1 -> 65.6Helped

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