Christine Elaine Tinberg

This paper evolves computationally designed protein binders using in vivo hypermutation and maps their sequence-affinity landscapes to understand affinity improvements and mutation interactions.

This paper develops machine learning models to predict antibody thermostability using sequence and structure features, showing better generalization with a CNN over pre-trained language models.