LVPocket: integrated 3D global-local information to protein binding pockets prediction with transfer learning of protein structure classification.

We present a novel model structure for predicting protein binding pockets that provides a solution for relying on extensive convolutional computation while neglecting global information about protein structures. Furthermore, we tackle the impact of different protein folding structures on binding pocket prediction tasks through the application of transfer learning methods.