Engin Yapici

This paper introduces a method to map epitopes at the single amino acid level by screening antibody drugs against a mutationally-scanned target protein library on a biosensor chip, identifying critical residues for binding.

Deep generative models combined with high-throughput screening design de novo anti-HER2 antibodies without further optimization, yielding nanomolar binders functionally comparable or superior to trastuzumab.

Language models trained on high-throughput affinity data predict KD of unseen antibody variants across three orders of magnitude, and a "naturalness" score can be optimised alongside affinity.