7 citations · 7 across the 4 of their papers we have counts for
5 papers
AbICL: In-Context Learning for Antigen-Specific Antibody Affinity Ranking
Zhiyuan Chen, Jing Hu, Junzhe Wang +4
Accurate ranking of antibody candidates according to their binding affinity is essential for therapeutic antibody discovery. However, existing methods treat affinity comparisons in…
HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3
Jie Gao, Jing Hu, Shanzhuo Zhang +5
Antibody engineering is essential for developing therapeutics and advancing biomedical research. Traditional discovery methods often rely on time-consuming and resource-intensive e…
HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
Jie Gao, Jun Li, Jing Hu +5
Protein binder design is central to therapeutics, diagnostics, and synthetic biology, yet practical deployment remains challenging due to fragmented workflows, high computational c…
Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer
Jie Gao, Jing Hu, Lihang Liu +4
The accurate prediction of antigen-antibody structures is essential for advancing immunology and therapeutic development, as it helps elucidate molecular interactions that underlie…
HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights
Xiaomin Fang, Jie Gao, Jing Hu +4
While monomer protein structure prediction tools boast impressive accuracy, the prediction of protein complex structures remains a daunting challenge in the field. This challenge i…