Encoding the Space of Protein-protein Binding Interfaces by Artificial Intelligence
Zhaoqian Su, Kalyani Dhusia, Yinghao Wu
This paper uses artificial intelligence to encode and generate protein-protein binding interface fragment pairs, demonstrating the degeneracy of their conformational space and the utility of machine learning for predicting unknown interactions.