Benjamin O. Alvarado

Computational Redesign of an Antifreeze Protein Using Deep Learning

Deep learning-based protein design methods are used to redesign the globular fish antifreeze protein AFPIII, keeping the previously reported ice-binding residues fixed, highlighting the value of deep learning-based protein design methods both for generating AFP variants with desirable properties and for uncovering gaps in existing knowledge of well-characterized AFPs.