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Table 6 Comparison of predictive performance with other methods.

From: Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information

Methods

Prediction accuracy (%)

Dataset used

Prediction performance evaluation method

 

Q 2

MCC

  

Statistical patterna

72.7

-

242 Xaa-Pro bonds

self-consistency

COPSb

63.6

-

8584 proteins

10-fold cross-validation

SVM single sequencec

69.8

-

2193 proteins

independence test

SVM single sequenced

76.6

0.53

2193 proteins

Jack-knife

SVM single sequencee

62.8

0.26

2424 proteins

5-fold cross-validation

SVM PSI-BLASTf

69.8

0.40

2424 proteins

5-fold cross-validation

SVM PSIPREDg

63.6

0.27

2424 proteins

5-fold cross-validation

SVM PSI-BLAST and PSIPREDh

71.5

0.43

2424 proteins

5-fold cross-validation

  1. aPrediction accuracy reported by Frömmel and Preissner [16]. The result cannot be determined from the paper.
  2. bPrediction accuracy estimated based on the average statistical results of COPS [18].
  3. cPrediction accuracy using independence test reported by Wang et al [17].
  4. dPrediction accuracy using jack-knife test reported by Wang et al [17].
  5. ePrediction accuracy of SVM based on single sequence encoding scheme using our dataset.
  6. fPrediction accuracy of SVM based on PSI-BLAST encoding scheme using our dataset.
  7. gPrediction accuracy of SVM based on PSIPRED encoding scheme using our dataset.
  8. hPrediction accuracy of SVM based on PSI-BLAST and PSIPRED encoding scheme using our dataset.