Adding common-plus-uncommon substructure masks and group lasso or sparse group lasso losses to activity-cliff GNNs improves per-target pIC50 prediction and attribution consistency on six tyrosine kinases.
Explainable artificial intelligence for drug discovery and development: A comprehensive survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization
Adding common-plus-uncommon substructure masks and group lasso or sparse group lasso losses to activity-cliff GNNs improves per-target pIC50 prediction and attribution consistency on six tyrosine kinases.