ProAffinity-GNN: a novel approach to structure-based protein-protein binding affinity prediction via a curated data set and graph neural networks

• Main Authors: Zhou, Zhiyuan, Yin, Yueming, Han, Hao, Jia, Yiping, Koh, Jun Hong, Kong, Adams Wai Kin, Mu, Yuguang
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Medicine, Health and Life Sciences; Graph neural networks; Protein binding affinity
• Online Access: https://hdl.handle.net/10356/182312
• Institution: Nanyang Technological University

Protein-protein interactions (PPIs) are crucial for understanding biological processes and disease mechanisms, contributing significantly to advances in protein engineering and drug discovery. The accurate determination of binding affinities, essential for decoding PPIs, faces challenges due to the...