Classification of protein-protein recognition with genetic programming
Proteins interact with each other with their binding sites. In this paper, we classify types of interactions using physicochemical properties information of the binding site. We distinguish between permanent protein interactions and transient protein interactions. Basic data of the amino acids on binding sites are retrieved. A method using genetic programming to construct features from the basic data is proposed. The method achieves an average classification accuracy of 80%.