Abstract The ability to predict how amino acid changes affect proteins has a wide range of applications including in disease variant classification and protein engineering. Many existing methods focus on learning from patterns found in either protein sequences or protein structures. Here. we present a method for integrating information from sequence and structure in a single model tha... https://www.nacrack.com/