Predicting Golgi-resident proteins in plants by incorporating N-terminal transmembrane domain information in the general form of Chou´s pseudoamino acid compositions

Knowing the subcellular location of a protein is an important step in understanding its biological functions. In this paper, we developed a new method to identify whether a protein is a Golgi-resident protein or not in plant cells. We proposed to incorporate transmembrane domain information and six different kinds of physicochemical properties of amino acids in the general form of Chou´s pseudo-amino acid compositions. By using SVM based classifiers, our method achieved over 90% prediction accuracy in a 5-fold cross validation, which is much better than the other state-of-the-art methods.