Aicha Boutorh, Soumia Bouyahiaoui, Sara Belhadj, Nour El Yakine Guendouz, Manel Kara Laouar
DuaDeep-SeqAffinity is a deep learning framework that accurately predicts antigen-antibody binding affinity using only amino acid sequences, outperforming existing methods without needing 3D structural data.
The binding affinity between antigens and antibodies is crucial for developing drugs and vaccines. Traditional methods often depend on 3D structures, which are hard to obtain. DuaDeep-SeqAffinity is a new approach that predicts how strongly antigens and antibodies bind using only their amino acid sequences. It uses advanced deep learning techniques to make these predictions more accurate and faster, without needing 3D models. This innovation could speed up the process of discovering new therapies.
