SAAFEC-SEQ uses the PsePSSM algorithm to predict the stability changes upon a single mutation in protein. SAAFEC-SEQ uses gradient boosting decision tree repressor to encode physicochemical properties, sequence features and
evolutionary information to compute the change in stability free energy resulting from single mutations. SAAFEC-SEQ outperforms all existing state-of-the-art sequence-based methods in both the Pearson correlation coefficient and
root-mean-squared-error parameters for several independent datasets. SAAFEC-SEQ (available here) and use it locally.