Ford, Colby T.

Predictions of the SARS-CoV-2 Omicron Variant (B.1.1.529) Spike Protein Receptor-Binding Domain Structure and Neutralizing Antibody Interactions

Ford, C. T., Machado, D. J., & Janies, D. A. (2021) · Frontiers in Virology

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 52

Predictions of the SARS-CoV-2 Omicron Variant (B.1.1.529) Spike Protein Receptor-Binding Domain Structure and Neutralizing Antibody Interactions

Ford, C. T., Jacob Machado, D., & Janies, D. A. (2022) · Frontiers in Virology

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 52

Predicting changes in neutralizing antibody activity for SARS-CoV-2 XBB.1.5 using in silico protein modeling

Ford, C. T., Yasa, S., Jacob Machado, D., White, R. A., & Janies, D. A. (2023) · Frontiers in Virology

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 9

Human Cytokine and Coronavirus Nucleocapsid Protein Interactivity Using Large-Scale Virtual Screens

Tomezsko, P. J., Ford, C. T., Meyer, A. E., Michaleas, A. M., & Jaimes, R. (2023) · Frontiers in Bioinformatics

Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 Research

Cited by 9

Human cytokine and coronavirus nucleocapsid protein interactivity using large-scale virtual screens

Tomezsko, P. J., Ford, C. T., Meyer, A. E., Michaleas, A. M., & Jaimes, R. (2024) · Frontiers in Bioinformatics

Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 Research

Cited by 9

PD-1 Targeted Antibody Discovery Using AI Protein Diffusion

Ford, C. T. (2024) · Technology in Cancer Research & Treatment

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 7

PD-1 Targeted Antibody Discovery Using AI Protein Diffusion

Ford, C. T. (2024) · Technology in Cancer Research & Treatment

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 7