Exploring diverse routes to high-affinity-antibody variable domains through deep-sequencing-informed machine learning
Sakiya Kawada, Tomoyuki Ito, Hikaru Nakazawa, Yoichi Kurumida, Yutaka Saito, Mitsuo Umetsu
This study uses deep sequencing and machine learning to optimize antibody discovery by analyzing training data and search space design for high-affinity VHHs.
bioRxiv · Jun 1, 2026 · PreprintBioengineering