Performance of SVM model based on amino acid composition using layer approach. (For detail please see Table S9).

Where TP, TN, FP, FN, MCC and AUC are True positive, True negative, False positive, False negative, Matthews correlation coefficient and Area under ROC curve respectively.
Values in parenthesis are the number of proteins in that location at column ‘location’ and in column ‘TP’, ‘TN’, ‘FP’, ‘FN’, ‘Sensitivity’, ‘Specificity’, ‘Accuracy’ and ‘MCC’ are the values at which maximum MCC was found.