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The HSPM uses human protein\u2013protein interaction networks to quantify interactions between drug targets and disease proteins, assessing the impact of drugs and their combinations on diseases. It calculates pharmacodynamic action scores to account for drug effect transmission across hierarchical levels, considering decay rates and node degree values. Validated against extensive datasets, HSPM differentiates between known effective and unknown\/ineffective drug\u2013disease pairs, highlighting its predictive modeling potential. Applied to traditional Chinese medicine, HSPM reveals synergistic effects and identifies new drug combinations with therapeutic potential, such as against hepatocellular carcinoma. Cellular experiments confirm the model's predictions, enhancing the efficacy of specific drug combinations. 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