The aim of this project is to leverage deep learning, specificallyusing a Large Language Model, to identify patterns in homologous proteingene sequences that indicate high expressibility. Using these identified patterns,we aim to predict the producibility of heterologous proteins from their DNAsequences and validate these predictions experimentally.