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◆ Advanced Science2025-10-01· Computer science

Biomolecular Interaction Prediction: The Era of AI (Adv. Sci. 38/2025)

Haoping Wang, Xiangjie Meng, Yang Zhang

原始摘要(英文原文)· Original abstract
AI-Powered Biomolecular Interaction Prediction On this cover, AI is depicted as a fisherman selecting target ‘fish’ from a pool of candidates, symbolizing its ability to pinpoint high-affinity biomolecular interactions. In article number 2509501, Haoping Wang, Xiangjie Meng, and Yang Zhang systematically review AI applications in biomolecular interaction prediction. Deep learning models leveraging diverse sequence and structural features show outstanding predictive capabilities. The article discusses key methodologies, evaluation strategies, current challenges, and future directions, providing a clear, accessible reference for researchers entering this rapidly evolving field.
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Biomolecular Interaction Prediction: The Era of AI (Adv. Sci. 38/2025) — 科研速览 Science Skim