Predicting Interactions between Virus and Host Proteins Using Repeat Patterns and Composition of Amino Acids

Table 3

Results of 10-fold cross validation of SVM model on different combinations of the three features we used in our method.

F1 and F2	F3	Sn (%)	Sp (%)	Acc (%)	PPV (%)	NPV (%)	MCC	AUC
SAR	5 partitions	88.24	97.34	92.79	97.07	89.22	0.859	0.963
SAR	7 partitions	88.24	97.96	93.10	97.74	89.29	0.866	0.965
SAR	9 partitions	89.19	96.08	92.63	95.79	89.88	0.855	0.962
DAR	5 partitions	84.80	94.51	89.66	93.92	86.14	0.797	0.937
DAR	7 partitions	85.42	94.51	89.97	93.97	86.64	0.803	0.938
DAR	9 partitions	85.27	94.20	89.73	93.63	86.47	0.798	0.940

SAR: single amino acid repeats for F1 and F2, DAR: double amino acid repeats for F1 and F2, Sn: sensitivity, Sp: specificity, Acc: accuracy, PPV: positive predictive value, NPV: negative predictive value, MCC: Matthews correlation coefficient, and AUC: the area under the ROC curve.