DeepAIR: A Deep Learning Framework for Effective Integration of Sequence and 3D Structure to Enable Adaptive Immune Receptor Analysis

The authors presented a deep learning framework, termed DeepAIR, for the accurate prediction of adaptive immune receptors (AIRs)-antigen binding by integrating both sequence and structure features of AIRs.