DuaDeep-SeqAffinity: Dual-Branch Deep Learning for Tri-Stream Sequence-Based Antibody--Antigen Affinity Prediction
The episode details 'DuaDeep-SeqAffinity,' a sequence-only deep learning model designed to predict antibody-antigen binding affinity. By utilizing two parallel streams—one for global context and local patterns—the model achieves high accuracy (AUC of 0.890). This capability provides a reliable, cost-effective method for predicting interaction strength without needing complex structural data, significantly accelerating drug discovery and high-throughput screening.