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Table 2 Results on benchmark dataset of different PSSM based encoding schemes through jackknife validation.

From: Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

Methods Acc(%) MCC SN(%) SP(%) AUC(%)
AvePscore-20a 73.95 0.480 68.57 79.09 81.40
AvePscore-400d 73.58 0.470 66.47 80.36 81.50
Pscore-100c 73.12 0.463 72.76 73.45 80.50
ACCd 73.77 0.475 73.14 74.36 81.90
PSSM-DTf 79.96 0.622 81.91 78.00 86.50
  1. The four protein representation methods in the front of the table are four protein encoding methods for identification of DNA-binding proteins proposed in the past. The four methods and the current method PSSM-DT are based on PSSMs property of protein sequences, but the encoding method applied by them are different. The results were got by testing on benchmark dataset through jackknife validation.
  2. aresults obtained by in-house implementation of AvePscore-20 [21]
  3. bresults obtained by in-house implementation of AvePscore-400 [21]
  4. cresults obtained by in-house implementation of Pscore-100 [75]
  5. dresults obtained by in-house implementation of ACC [76]
  6. fresults obtained by using PSSM-DT as protein representation