<ul><li>Activity cliff prediction is crucial in drug discovery and material design.</li><li>Existing methods are limited to single binding targets, hindering their broader applicability.</li><li>MTPNet, a Multi-Grained Target Perception network, incorporates knowledge of molecular interactions with target proteins for activity cliff prediction.</li><li>MTPNet outperforms previous approaches by utilizing receptor proteins to enhance interaction detail capturing, leading to more accurate predictions.</li></ul>

MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction

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