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In this era of genomics,the
prediction of localization of various proteins is an impotant and challenging
problem in the field of molecular biology. The Prediction of Subcellular
localization of protein can provide an imprtant insight about the function
of protein.Here, we have designed a SVM based methods for predicting the subcellular localization
of the eukaryotic proteins using various features of proteins.The three features i) physicochemical
properties, amino acid compostion, dipeptide compostion of proteins are taken in consideration for the development of method.The prediction accuracy of amino acid compostion,physicochemical
properties and dipeptide based modules is 78.1%, 77.8% and 82.4% respectively.We have also designed a module on the PSI-BLAST.For more relaiable prediction we have constructed a hybrid module using all features of protein and PSI-BLAST information. The prediction accuracy of hybrid module based method is 88.0%.
''Protein's Subcellular localization
can provide valuable clues about its function.''