Machine learning enables de novo multi-epitope design of plasmodium falciparum circumsporozoite protein to target trimeric L9 antibody
Andrew Nelson, Samuel E. Garfinkle, Zi Jie Lin, Joyce H. Park, Amber Kim, Kelly Bayruns, Madison E. McCanna, Kylie M. Konrath, Colby J. Agostino, Daniel W. Kulp, Audrey R. Odom John, Jesper Pallesen
The paper designs a multi-epitope immunogen for malaria using machine learning, demonstrating its ability to bind and orient three copies of the L9 antibody.
Proceedings of the National Academy of Sciences · Dec 3, 2025Peer-reviewedBiophysics