ABSTRACT PREDICTION OF PROTEIN SUBCELLULAR LOCALIZATION USING GLOBAL PROTEIN SEQUENCE FEATURE

The problem of identifying genes in eukaryotic genomic sequences by compu-tational methods has attracted considerable research attention in recent years. Many early approaches to the problem focused on prediction of individual func-tional elements and compositional properties of coding and non coding deoxyri-bonucleic acid (DNA) in entire eukaryotic gene structures. More recently, a num-ber of approaches has been developed which integrate multiple types of informa-tion including structure, function and genetic properties of proteins. Knowledge of the structure of a protein is essential for describing and understanding its function. In addition, subcellular localization of a protein can be used to pro-vide some amount of characterization of a protein. In this study, a method for the prediction of protein subcellular localization based on primary sequence data is described. Primary sequence data for a protein is based on amino acid sequence. The frequency value for each amino acid is computed in one given position. Assigned frequencies are used in a new encoding scheme that conserves biological information based on point accepted mutations (PAM) substitutio