Research Article

Prediction of IL4 Inducing Peptides

Table 4

The performance of hybrid models that combines motif based approach and SVM models developed using various compositional features of peptides on rbf-kernel. The optimized parameters have been given in the brackets.

Thres.AAC_MOTIF ( : 0.01; : 2; : 1)DPC_MOTIF ( : 0.01; : 3; : 1)AAP_MOTIF ( : 0.1; : 1; : 1)
Sen.Spec.Acc.MCC.Sen.Spec.Acc.MCC.Sen.Spec.Acc.MCC.

−199.5617.9262.760.3198.8927.2266.590.3999.7820.6264.090.35
−0.999.2325.4765.980.3897.930.0567.310.3999.1225.265.80.37
−0.899.2330.0568.040.4297.0133.4268.350.419929.9267.860.41
−0.799.1231.5468.650.4395.9137.269.440.4298.6733.6969.380.44
−0.698.5633.2969.140.4394.6940.0370.050.4298.1236.5270.350.45
−0.598.3434.169.380.4493.1443.2670.660.4397.0138.4170.60.45
−0.497.934.6469.380.4391.2645.8270.780.4296.6839.6270.960.45
−0.397.0136.1269.560.4389.1650.2771.630.4395.4642.1871.450.46
−0.296.6837.3369.930.4386.1756.3372.720.4593.5845.1571.750.45
−0.194.5839.6269.810.4283.1960.9273.150.4691.0447.9871.630.44
091.2645.2870.530.4279.0964.9672.720.4588.1654.4572.960.46
0.171.1371.5671.320.4376.3369.4173.210.4684.0763.2174.670.49
0.253.4388.9569.440.4472.2372.5172.360.4578.7672.175.760.51
0.347.993.868.590.4667.3776.2871.390.4366.2681.1372.960.47
0.443.9295.6967.250.4563.8378.5770.470.4254.9889.0870.350.46
0.541.1597.8466.710.4658.6383.0269.620.4248.3492.1868.10.44
0.639.9398.5266.340.4653.4386.2568.230.4144.4795.0167.250.44
0.738.7299.1965.980.4649.1289.4967.310.4141.4896.566.280.44
0.837.1799.4665.250.4544.4791.9165.860.438.6197.8465.310.44
0.936.0699.4664.640.4440.0493.864.280.3935.6298.7964.090.43
134.8599.664.030.4335.6295.6962.70.3832.8599.4662.880.42