Pseudo amino acid composition (PseAAC) is a concept used in bioinformatics and computational biology to represent protein sequences in a way that incorporates not only the sequence of amino acids but also some of their physicochemical properties. The main goal of PseAAC is to create a numerical representation of proteins that can be utilized in various machine learning and data mining applications for tasks such as protein classification, function prediction, and other analyses.