Zero-shot prediction of drug responses using biologically informed neural networks trained on phosphoproteomic timeseries
Fig 3
Zero-shot prediction of drug-specific phosphoproteomics responses.
A. Model predictions versus experimental differential phosphorylation in a zero-shot setting after EGF control subtraction. Top row: biologically informed model using the OmniPath prior-knowledge network; middle row: model without prior-knowledge network (fully connected signaling layer); bottom row: naïve baseline estimated as the mean response of the remaining drugs. B. ROC curves for identifying up- and downregulated phosphosites using the biologically informed model (dark lines) and the model without prior knowledge (light lines). AUC values are reported for each drug.