Chris Bailey-Kellogg

Professor of Computer Science

Personal Website
646-3385
250 Sudikoff Lab
HB 6211
Department:
Computer Science
Education:
B.S. MIT
M.S. MIT
Ph.D. Ohio State University

Selected Publications

H. Zhao, D. Verma, W. Li, Y. Choi, S.N. Fiering, C. Bailey-Kellogg, and K.E. Griswold, “Depleting T cell epitopes in lysostaphin mitigates anti-drug antibody response and enhances antibacterial efficacy in vivo”, Chem. Biol., 2015, 22:629-639.

Y. Choi, C. Hua, C.L. Sentman, M.E. Ackerman, and C. Bailey-Kellogg, "Antibody humanization by structure-based computational protein design", MAbs, 2015, 7:1-13.

R.S. Salvat, A.S. Parker, Y. Choi, C. Bailey-Kellogg, and K.E. Griswold, “Mapping the Pareto optimal design space for a functionally deimmunized biotherapeutic candidate”, PLoS Comput. Biol., 2015, 11: e1003988.

D. Verma, G. Grigoryan, and C. Bailey-Kellogg, "Structure-based design of combinatorial mutagenesis libraries", Protein Sci., 2015, 24:895-908.

I. Choi, A.W. Chung, T.J. Suscovich, et al., and G. Alter, M.E. Ackerman, and C. Bailey-Kellogg, “Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees”, PLoS Comput. Biol., 2015, 11:e1004185.

A.W. Chung, M. Ghebremichael, H. Robinson, E. Brown, I. Choi, et al., and C. Bailey-Kellogg, M.E. Ackerman, and G. Alter, “Polyfunctional Fc-Effector Profiles Mediated by IgG Subclass Selection Distinguish RV144 and VAX003 Vaccines”, Sci. Transl. Med., 2014, 6:228ra38.