Victor Emil Møller

Odin-Multi is a binder design framework that optimizes sequences against multiple targets simultaneously, improving cross-reactivity and specificity compared to single-target methods.

The paper designs a cyclic MC4R peptide agonist using deep learning and validates its efficacy in reducing food intake in mice.