<ul><li>Protein-Protein Interaction (PPI) prediction is a key task in uncovering cellular functional networks and disease mechanisms.</li><li>A novel supervised contrastive multimodal framework, SCMPPI, is proposed for PPI prediction. It integrates protein sequence features and PPI network topology information, enhancing prediction performance.</li><li>SCMPPI outperforms existing state-of-the-art methods in accuracy and AUC metrics, and demonstrates strong generalization in cross-species prediction.</li><li>SCMPPI has been successfully applied to CD9 networks, the Wnt pathway, and cancer-specific networks, providing a reliable tool for disease target discovery.</li></ul>

SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions

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