From: Proposing a highly accurate protein structural class predictor using segmentation-based features
References | Method | All-α | All-β | α/β | α+ β | Overall |
---|---|---|---|---|---|---|
[45] | Logistic Regression | 69.1 | 61.6 | 60.1 | 38.3 | 57.1 |
[53] | Specific Tri-peptides | 60.6 | 60.7 | 67.9 | 44.3 | 58.6 |
[33] | LLSC-PRED | 75.2 | 67.5 | 62.1 | 44.0 | 62.2 |
[33] | SVM | 77.4 | 66.4 | 61.3 | 45.4 | 62.7 |
[38] | AAD-CGR | 64.3 | 65.0 | 65.0 | 61.7 | 64.0 |
[7] | CWT-PCA-SVM | 76.5 | 67.3 | 66.8 | 45.8 | 64.0 |
[54] | AATP | 81.9 | 74.7 | 75.1 | 55.8 | 71.7 |
[16] | AADP-PSSM | 83.3 | 78.1 | 76.3 | 54.4 | 72.9 |
[55] | SCPRED | 92.6 | 80.1 | 74.0 | 71.0 | 79.7 |
[37] | SSA | 92.6 | 83.7 | 80.5 | 65.9 | 81.5 |
[37] | PSSA | 94.6 | 76.3 | 73.1 | 74.4 | 80.0 |
[24] | RKS-PPSC | 92.8 | 83.3 | 80.8 | 70.1 | 82.9 |
[48] | SVM | 92.6 | 81.3 | 81.5 | 76.0 | 82.9 |
[27] | MODAS | 92.3 | 83.7 | 81.2 | 68.3 | 81.4 |
[26] | AAC-PSSM-AC | 85.3 | 81.7 | 73.7 | 55.3 | 74.1 |
[22] | Physicochemical-based features | 86.1 | 80.8 | 80.6 | 60.1 | 76.7 |
[5] | Structural-based features | 95.0 | 85.6 | 81.5 | 73.2 | 83.9 |
[6] | Structural-based features | 95.0 | 81.3 | 83.2 | 77.6 | 84.3 |
This Study | PSSM-S | 93.5 | 90.3 | 92.1 | 81.4 | 89.6 |
This Study | SPINE-S | 93.8 | 83.1 | 78.4 | 73.9 | 82.3 |
This Study | PSSM-SPINE-S | 96.8 | 93.7 | 90.1 | 87.0 | 92.2 |