Designing protein mutants with high stability and activity is a critical yet
challenging task in protein engineering. Here, we introduce PRIME, an
innovative deep learning approach for the zero-shot prediction of both protein
stability and enzymatic activity. PRIME leverages temperature-guided language
modelling, providing robust and precise predictions without relying on prior
experimental mutagenesis data. Tested against 33 protein datasets, PRIME
demonstrated superior predictive performance and generalizability compared to
current state-of-the-art modelsComment: arXiv admin note: text overlap with arXiv:2304.0378