Frank Hu

This paper introduces a method to improve protein engineering efficiency using pre-trained protein language models and statistical physics-based post-training to generate high fitness sequences with fewer experimental data points.

The paper introduces IDiom, a language model for generating intrinsically disordered protein sequences, showing it can produce sequences with biologically relevant features and subcellular localization properties.