Ezequiel A. Galpern

From sequences and structures to fitness, folding and function: challenges in the age of AI

Deep-learning models have transformed our ability to predict the phenotypic effects of sequence perturbations. Protein language models (pLMs) score the evolutionary propensity of any amino-acid substitution, emerging as fast and accurate predictors of fitness changes. Inverse-folding (IF) models add structural informat...