BioinformaticsJournal of Chemical Information and ModelingPeer-reviewed
ProAffinity-GNN: A Novel Approach to Structure-based Protein-Protein Binding Affinity Prediction via a Curated Dataset and Graph Neural Networks
Zhiyuan Zhou, Yueming Yin, Hao Han…·Yuguang Mu
This paper introduces ProAffinity-GNN, a deep learning framework for predicting protein-protein binding affinities using graph neural networks and a curated dataset of protein complexes with experimentally determined affinities.
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