Chris Bailey-Kellogg

Professor of Computer Science

Personal Website
250 Sudikoff Lab
HB 6211
Computer Science
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.