Modeling Protein Fitness Using Evolutionary and Assay-Labeled Data
Scientists from the University of California, Berkeley have developed a machine learning-based model that predicts protein fitness from the sequence. Protein fitness is a broad term that includes a wide range of protein properties, such as stability, enzyme activity, and ligand binding. Models of protein fitness based on machine learning typically learn from either unlabeled,…

