Past Member: Indigo Chris King, PhD, WRF Innovations Fellows Project Leader
Indigo worked on translating the IPD’s protein design platform into novel therapeutics for immuno-oncology and infectious disease, developing algorithms and automation tools for high-throughput design of protein drugs, and training new postdocs for the WRF Innovation Fellows Program. Previously, as a graduate student with Dr. David Baker at the University of Washington, he developed tools for reducing the immunogenicity of protein therapeutics by integrating machine-learning immunoinformatics tools with the Rosetta protein design package, leading to the development and immunological characterization of ‘de-immunized’ GFP and recombinant immunotoxin. As a graduate student with Phil Bradley lab at the Fred Hutchinson Cancer Research Center, he developed algorithms for predicting protein interaction specificity through structural and energetic modeling of protein-protein complexes. In his undergraduate work with Dr. Pengyu Ren at the University of Texas, he examined kinase-peptide interactions through molecular dynamics simulations and developed force field parameters for the AMOEBA atomic-multipole solvent model.
1. King, C., Garza, E. N., Mazor, R., Linehan, J. L., Pastan, I., Pepper, M., & Baker, D. (2014). Removing T-cell epitopes with computational protein design. Proceedings of the National Academy of Sciences, 201321126.
2. King, C. A., & Bradley, P. (2010). Structure‐based prediction of protein–peptide specificity in rosetta. Proteins: Structure, Function, and Bioinformatics, 78(16), 3437-3449.
3. Nivón, L. G., Bjelic, S., King, C., & Baker, D. (2013). Automating human intuition for protein design. Proteins: Structure, Function, and Bioinformatics.
4. Zhang, J., King, C. A., Dalby, K., & Ren, P. (2010). Conformational preference of ChaK1 binding peptides: a molecular dynamics study. BMC Biophysics,3(1), 2.
5. Jiao, D., King, C., Grossfield, A., Darden, T. A., & Ren, P. (2006). Simulation of Ca2+ and Mg2+ solvation using polarizable atomic multipole potential. The Journal of Physical Chemistry B, 110(37), 18553-18559.