Several types of protein descriptors are available for PCM modelling and similar applications . These can be broadly classified between sequence-based and structure-based descriptors. Descriptors derived from the protein sequence include discrete features calculated per residue (one-hot encoding) or protein capturing physicochemical properties or amino acid composition. Additionally, deep learning applications of natural language processing have prompted the generation of protein embeddings from sequences .