Hunter Elliott

How to make the most of your masked language model for protein engineering

This work proposes a flexible, effective sampling method for masked language models (MLMs), and reports results from an extensive in vitro head-to-head evaluation for the antibody engineering setting, revealing that the choice of sampling method can have a substantial impact, motivating future research into this under-explored area.