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Table 2 Benchmark results for the SVM-based method ('MEMSAT-SVM') against a selection of leading topology predictors

From: Transmembrane protein topology prediction using support vector machines

Method

Algorithm

Correct helix count

Correct helix locations

Correct N-terminal

FP helix

FN helix

Correct SP topology

Correct RE topology

Correct topology

MEMSAT-SVM

SVM

95%

91%

91%

4%

5%

93%

64%

89%

OCTOPUS

NN + HMM

86%

83%

84%

14%

2%

21%

73%

79%

MEMSAT3

NN

84%

76%

84%

8%

8%

57%

64%

76%

ENSEMBLE

NN + HMM

77%

76%

79%

18%

5%

7%

55%

67%

PHOBIUS

HMM

75%

76%

79%

9%

16%

93%

36%

63%

HMMTOP

HMM

77%

76%

78%

18%

6%

29%

64%

63%

PRODIV

HMM

79%

64%

76%

19%

8%

0%

18%

57%

SVMTOP

SVM

66%

64%

66%

22%

22%

0%

55%

53%

TMHMM

HMM

75%

68%

72%

14%

20%

29%

55%

53%

PHDhtm

NN

75%

54%

55%

23%

30%

29%

18%

45%

  1. Column 1: Method – Prediction method. Column 2: Algorithm – Underlying machine-learning algorithm. Column 3: Correct helix count – Fraction of sequences with the correct number of TM helices predicted. Column 4: Correct helix locations – Fraction of sequences with the correct number and locations of TM helices predicted. Column 5: Correct N-terminal – Fraction of sequences with the correct N-terminal location predicted. Column 6: FP helix – Fraction of sequences with at least one over predicted TM helix. Column 7: FN helix – Fraction of sequences with at least one under predicted TM helix. Column 8: Correct SP topology: Fraction of sequences that contain signal peptides that have correct overall topology predicted. Column 9: Correct RE topology: Fraction of sequences that contain re-entrant helices that have correct overall topology predicted. Column 10: Correct topology: Fraction of sequences that have correct overall topology predicted, requiring the correct number and location of TM helices and correct location of the N-terminal. TM helices must overlap their defined positions by at least 5 residues.