Table 11 The results of comparison between MKSVM (with MKL-CKA) model and other existing methods on PDB186 data set (independent test)
From: A sequence-based multiple kernel model for identifying DNA-binding proteins
Methods | ACC (%) | MCC | SN (%) | Spec (%) |
|---|---|---|---|---|
IDNA-Prot|dis | 72.0 | 0.445 | 79.5 | 64.5 |
IDNA-Prot | 67.2 | 0.344 | 67.7 | 66.7 |
DNA-Prot | 61.8 | 0.240 | 69.9 | 53.8 |
DNAbinder | 60.8 | 0.216 | 57.0 | 64.5 |
DBPPred | 76.9 | 0.538 | 79.6 | 74.2 |
iDNAPro-PseAAC | 71.5 | 0.442 | 82.8 | 60.2 |
Kmer1+ACC | 71.0 | 0.431 | 82.8 | 59.1 |
Local-DPP | 79.0 | 0.625 | 92.5 | 65.6 |
DPP-PseAAC | 77.4 | 0.550 | 83.0 | 70.9 |
Adilina’s work | 82.3 | 0.670 | 95.0 | 69.9 |
MKSVM-HKA | 81.2 | 0.648 | 94.6 | 67.7 |
MSFBinder | 79.6 | 0.616 | 93.6 | 65.6 |
FKRR-MVSF | 81.7 | 0.676 | 98.9 | 64.5 |
RF* | 79.0 | 0.593 | 89.3 | 68.8 |
FNN* | 75.3 | 0.520 | 87.1 | 63.4 |
Our method* (MKSVM with MKL-CKA) | 83.7 | 0.691 | 93.6 | 74.2 |