Tianlei Ying

This paper introduces BL8, a structural language to evaluate deep learning predictions of antibody-antigen interactions, revealing false positives and enabling reliable consensus predictions.

This paper introduces TFDesign-sdAb, a deep learning framework for designing therapeutic single-domain antibodies with tailored functionalities, achieving high success rates in generating Protein A-binding sdAbs.

IgGM is a generative model for antibody design that produces high-affinity antibodies through tasks like structure prediction and affinity maturation, validated on multiple antigens.

This paper develops circRNA-based in vivo panCAR to achieve comprehensive B cell depletion and reconstitution, showing efficacy in treating B cell disorders and aging in mice and non-human primates.

This paper introduces GearBind, a geometric graph neural network for in silico antibody affinity maturation, achieving significant improvements in binding affinity.