Comprehensive evaluation of AlphaFold/OpenFold prediction of experimentally unresolved proteins through novel metrics
Abstract Predicting accurate protein structures is essential for understanding molecular mechanisms, interpreting the impact of sequence variation, and supporting translational applications ranging from drug discovery to clinical genomics. Recent advances in deep-learning–based predictors such as AlphaFold2, OpenFold,...