 RASP, Rapid Stability Prediction, is a deep learning-based method for predicting the thermodynamic stability of proteins. It outperforms traditional biophysical models and can be used to quickly assess the stability of any given protein structure. Using RASP, researchers can analyze millions of single amino acid substitutions in the human protome and identify those that are likely to cause destabilizing effects. This information can then be used to better understand the underlying causes of genetic diseases. Additionally, RASP can be used to rapidly screen for potential drug targets or to identify new therapeutic strategies. This article was authored by Lasse M. Blabjerg, Mayor M. Kassam, Lydia L. Good, and others.