Effective Sequence-to-Expression Prediction for a Model Membrane Protein Using Machine Learning and Computational Protein Design
Abstract The recombinant expression of integral membrane proteins is notoriously challenging. One way to address this challenge is via computational genotype-to-phenotype models that determine how particular sequence features correlate with protein expression levels. However, the potential of such approaches is yet to...
Yuxin Shen, Maddie Lewis, Juno Underhill et al.
· ACS Synthetic Biology · 0 citations