A Hybrid Deep Learning Architecture for Enhanced Prediction of Systemic Lupus Erythematosus-Associated Epitopes
A Hybrid Deep Learning Architecture for Enhanced Prediction of Systemic Lupus Erythematosus-Associated Epitopes “`html Systemic Lupus Erythematosus (SLE) is a complex autoimmune disease characterized by the immune system’s attack on self-antigens. Accurate prediction of SLE-associated epitopes – specific sites on antigens targeted by autoantibodies – is crucial for understanding disease pathogenesis and developing effective immunotherapies. Traditional bioinformatics methods often fall short in analyzing the intricate patterns and high-dimensionality of epitope data. This study introduces a novel hybrid deep learning architecture…