SynProtX is a deep learning model leveraging large-scale proteomics, molecular graphs, and fingerprints to enhance the prediction of synergistic effects in anti-cancer drug combinations.

A statistical framework for detecting significant drug combination synergies in cancer. By leveraging tissue-specific reference null distributions across multiple synergy metrics, we compute empirical p-values to standardize synergy detection, uncover novel interactions, and enable rigorous evaluation of drug combinations.