Unraveling Protein Folding Stability at an Unprecedented Scale
Originally Published 2 years ago — by Chemistry World
A new high-throughput technique has been developed that can analyze the folding stabilities of nearly one million protein sequences at a time. This method, which is fast, accurate, and scalable, provides valuable data for understanding protein folding and improving machine learning models. By measuring stability for 1.8 million sequences, researchers obtained 776,000 high-quality folding stabilities. The large dataset is already proving useful for developing machine learning models to predict protein folding stability and understanding the impact of genetic variants on protein stability.