A Bayesian framework for high-throughput T cell receptor pairing. - Patrick V. Holec; Joseph Berleant; Mark Bathe; Michael E. Birnbaum (Bioinform., 2019)

Antibody complementarity determining region design using high-capacity machine learning. - Ge Liu; Haoyang Zeng; Jonas Mueller 001; Brandon Carter 001; Ziheng Wang; Jonas Schilz; Geraldine Horny; Michael E. Birnbaum; Stefan Ewert; David K. Gifford (Bioinform., 2020)

Machine learning optimization of peptides for presentation by class II MHCs. - Zheng Dai; Brooke D. Huisman; Haoyang Zeng; Brandon Carter 001; Siddhartha Jain 001; Michael E. Birnbaum; David K. Gifford (Bioinform., 2021)

Rapid assessment of T-cell receptor specificity of the immune repertoire. - Xingcheng Lin; Jason T. George; Nicholas P. Schafer; Kevin Ng Chau; Michael E. Birnbaum; Cecilia Clementi; José N. Onuchic; Herbert Levine (Nat. Comput. Sci., 2021)