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Table 6 Evaluation on rigid gap motifs on Prosite datasets.

From: Evaluating deterministic motif significance measures in protein databases

PS entry

Motif

Total Motifs

NumSeqs

Abs. Supp

Supp Rank

IG

Pratt

LogOdd

Zscore

PS00084

HHM..F.C

206

13

10

1

4

54

3

3

PS00927

PGGRF.E.Y.WD.Y

60

32

32

5

2

1

2

2

PS01142

GTLW.G...........L....W

419

5

4

1

3

198

3

3

PS00780

NHT.C.C.TC..HK

30

57

54

8

7

3

9

9

PS00799

C.D..HCCP....C

285

6

5

1

53

91

50

50

PS00987

GKCNN..GHGHNY

106

13

6

1

4

94

3

3

PS00458

P...LGP.C.Y.AA.V.R...HW..P.L.AGA.A.G...K

579

11

11

1

1

1

1

1

PS00506

H.CGGNVGD

41

16

15

14

2

27

2

2

 

R m

   

0.25

0.11

0.0171

0.1096

0.1096

  1. Evaluation of motif ranking results for eight datasets from the Prosite database. For each dataset the number of sequences, the absolute support value (Abs. Supp.) and the number of reported motifs are given. Motifs are ranked with Information-theoretic measures and support (Supp rank). Last row gives the R m values of each measure, where support obtained the best results.
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Algorithms for Molecular Biology

ISSN: 1748-7188