AI Graph Model Tackles the Hardest Problem in Drug-Target Prediction
A new multiscale heterogeneous graph transformer called HierHGT-DTI achieves large gains in cold-start drug-target interaction prediction, especially for protein targets ...
A new multiscale heterogeneous graph transformer called HierHGT-DTI achieves large gains in cold-start drug-target interaction prediction, especially for protein targets ...
A controlled ablation study shows that classifier design and optimisation, not cross-attention alone, account for most of the improvement a ...
Researchers have built a fully open-source KNIME machine-learning workflow that curates thousands of PD-L1 bioactivity records and reliably predicts inhibitor ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine