Jesper Pallesen

An mRNA vaccine-based pipeline generated a TCR-like antibody to study noncanonical MHC-II antigen processing of an influenza epitope.

The paper identifies frequent and genetically diverse CDRH3 topologies in the human antibody repertoire that can be targeted by vaccination to elicit broadly neutralizing antibodies.

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.

This paper introduces WIN332, an engineered immunogen that elicits N332-glycan-independent V3-glycan antibodies in nonhuman primates after a single immunization.

This paper expands the Rosetta software suite with tools for glycan modeling, density fitting, and rational sequon design, achieving high accuracy in predicting and building glycan structures.