Machine learning prediction of enzyme optimum pH
J. E. Gado, M. Knotts, A. Y. Shaw, D. Marks, N. P. Gauthier, C. Sander, G. T. Beckham
This study develops and evaluates machine learning models to predict enzyme optimum pH, finding that language model embeddings significantly improve prediction accuracy, leading to the release of the EpHod model.
bioRxiv · Jun 22, 2023Biochemistry