Core Viewpoint - Dongyangguang Pharmaceutical is advancing its AI strategy by launching an AI-driven research and development platform focused on the PROTAC mechanism, aiming to provide a comprehensive data foundation for rational design and clinical translation of PROTAC lead compounds [1][2]. Group 1: AI Strategy and Platform Development - The company is building a high-quality, structured PROTAC-specific database (HEC PROTAC DB) that integrates molecular structures, degradation activity, physicochemical properties, and pharmacokinetic parameters from clinical pipelines, patents, and literature [2]. - The database currently includes over 30,000 PROTAC molecules, more than 500 POI ligands, over 1,000 types of linkers, 200 E3 ligands, and more than 150 targets, significantly surpassing existing public databases in data scale and structural granularity [2]. - An AI molecular generation and screening platform has been developed based on this database, creating a "data-generation-computational validation-experimental feedback" closed loop to accelerate the rational design and clinical translation of PROTAC lead compounds [2]. Group 2: Collaboration and Drug Development - The company is enhancing its AI drug development strategy through collaborations with industry leaders such as Beijing Deep Technology Co., Ltd. and Huawei Cloud Computing Technology Co., Ltd., establishing six proprietary models covering the entire drug discovery process [3]. - The first AI-driven small molecule drug, HEC169584, targeting metabolic-associated fatty liver disease (MASH), has entered clinical phase I, showing high in vitro activity against THR-β cells and strong liver targeting, with reduced impact on the thyroid axis and heart [3].