Machine Learning, Computational Biology, Protein Engineering, Bioinformatics.
comprising 8 wild type proteins and multiple single-aminoacid mutants, a linear regression model trained with UniRep representations had a lower error than three other baseline models UniRep vectors can be used as input features for predicting changes in protein function upon single mutations