Jaimes, Rafael

Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries

Li, L., Gupta, E., Spaeth, J., Shing, L., Jaimes, R., Engelhart, E., Lopez, R., Caceres, R. S., Bepler, T., & Walsh, M. E. (2023) · Nature Communications

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 96

Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries

Li, L., Gupta, E., Spaeth, J., Shing, L., Jaimes, R., Caceres, R. S., Bepler, T., & Walsh, M. E. (2022) · Nature Communications

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 96

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