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. 2011 May 18;7:1. doi: 10.1186/1746-1448-7-1

Table 1.

Results of supervised feature selection on the first 100 important protein attributes (with value equal to 1) contributing to halo-stability of studied proteins.

No Field Value Rank No Field Value Rank
1 Freq of Leu-Leu 1.0 Important 51 Freq of Tyr-Leu 1.0 Important

2 Freq of Phe-Pro 1.0 Important 52 Freq of Glu 1.0 Important

3 Freq of Leu-Ile 1.0 Important 53 Freq of Tyr-Ile 1.0 Important

4 Freq of Glu-Met 1.0 Important 54 Freq of carbon 1.0 Important

5 Freq of Trp-Lys 1.0 Important 55 Freq of Ile-Ile 1.0 Important

6 Freq of Leu 1.0 Important 56 Freq of Ile-Ala 1.0 Important

7 Freq of Val-Phe 1.0 Important 57 Freq of Met 1.0 Important

8 Freq of Trp-Pro 1.0 Important 58 Freq of Other 1.0 Important

9 Freq of Lys-Leu 1.0 Important 59 Freq of Val 1.0 Important

10 Freq of Leu-His 1.0 Important 60 Freq of Ala-Lys 1.0 Important

11 Freq of Leu-Arg 1.0 Important 61 Freq of Arg-Ile 1.0 Important

12 Freq of Ile 1.0 Important 62 Freq of Ile-Gly 1.0 Important

13 Freq of Val-Lys 1.0 Important 63 Freq of Lys-Thr 1.0 Important

14 Freq of Pro-Tyr 1.0 Important 64 Freq of Lys-His 1.0 Important

15 Freq of Val-Leu 1.0 Important 65 Freq of Phe-Ile 1.0 Important

16 Freq of Ser-Phe 1.0 Important 66 Freq of sulfur 1.0 Important

17 Freq of Val-Gln 1.0 Important 67 Freq of Ser-His 1.0 Important

18 Freq of Phe-Leu 1.0 Important 68 Freq of Lys-Val 1.0 Important

19 Freq of Asp-Trp 1.0 Important 69 Freq of Leu-Ser 1.0 Important

20 Freq of Gly-Leu 1.0 Important 70 Freq of His-Ser 1.0 Important

21 Freq of Leu-Trp 1.0 Important 71 Freq of Ala-Phe 1.0 Important

22 Freq of His 1.0 Important 72 Freq of nitrogen 1.0 Important

23 Freq of Phe 1.0 Important 73 Freq of Glu-Ser 1.0 Important

24 Freq of Lys 1.0 Important 74 Freq of Arg 1.0 Important

25 Freq of Tyr-Trp 1.0 Important 75 Freq of Met-Gly 1.0 Important

26 Freq of Gln-Leu 1.0 Important 76 Freq of Ile-Thr 1.0 Important

27 Freq of Leu-Val 1.0 Important 77 Freq of Pro-Leu 1.0 Important

28 Freq of Cys-Tyr 1.0 Important 78 Freq of Lys-Ile 1.0 Important

29 Freq of Leu-Lys 1.0 Important 79 Freq of Try 1.0 Important

30 Freq of Met-Leu 1.0 Important 80 Freq of Phe-Thr 1.0 Important

31 Freq of Thr-Phe 1.0 Important 81 Freq of Leu-Pro 1.0 Important

32 Freq of Val-Ile 1.0 Important 82 Freq of Ile-Val 1.0 Important

33 Freq of Leu-Gly 1.0 Important 83 Freq of Ile-Trp 1.0 Important

34 Freq of Gly-Ile 1.0 Important 84 Count of Trp-Lys 1.0 Important

35 Freq of Hydrophobic 1.0 Important 85 Freq of His-Leu 1.0 Important

36 Freq of Tyr-Lys 1.0 Important 86 Freq of Gly-Ala 1.0 Important

37 Freq of Thr-Val 1.0 Important 87 Freq of Ala-Val 1.0 Important

38 Freq of Ile-Asn 1.0 Important 88 Count of Trp-Pro 1.0 Important

39 Freq of His-Gln 1.0 Important 89 Freq of Val-Pro 1.0 Important

40 Freq of Glu-Gly 1.0 Important 90 Freq of Ser-Ile 1.0 Important

41 Freq of Leu-Tyr 1.0 Important 91 Freq of Glu-Lys 1.0 Important

42 Freq of Met-Arg 1.0 Important 92 Freq of oxygen 1.0 Important

43 Freq of Ala-Leu 1.0 Important 93 Freq of Thr-Leu 1.0 Important

44 Freq of Gln-Met 1.0 Important 94 Freq of Leu-Cys 1.0 Important

45 Freq of Trp-Leu 1.0 Important 95 Freq of Ile-Leu 1.0 Important

46 Freq of Thr-His 1.0 Important 96 Freq of Leu-Ala 1.0 Important

47 Freq of Ile-Arg 1.0 Important 97 Freq of Phe-Val 1.0 Important

48 Freq of Pro-Val 1.0 Important 98 Freq of Thr-Lys 1.0 Important

49 Freq of Tyr-Phe 1.0 Important 99 Freq of Tyr 1.0 Important

50 Count of hydrogen 1.0 100 Freq of Glu-Ala 1.0 Important

The algorithm considers one attribute at a time to determine how well each predictor alone predicts the target variable. The important value for each variable is then cal-culated as (1-p), where p is the p value of the appropriate test of association between the candidate predictor and the target variable. Since the target value was categorical, p values based on the F statistic was used.