SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering

Mingchen Li, Liqi Kang, Yi Xiong +4

Deep learning has been widely used for protein engineering. However, it is limited by the lack of sufficient experimental data to train an accurate model for predicting the functio…