Table 5

Structural and sequential properties of loop-type specific words in Wset≥30

Words characteristic

shared wordsa

short-long specific words

long-long specific words

flanking-region unspecific words

flanking-region specific words


Average RMSdw (Å)

0.90

0.80*

0.74

0.83

0.88

(± standard deviation)

(± 0.4)

(± 0.4)

(± 0.4)

(± 0.4)

(± 0.4)

AverageZmax

9.4

15*

9.7

8.5

11.6*

(± standard deviation)

(± 4.7)

(± 9.5)

(± 5.3)

(± 3.9)

(± 7.0)

Average nbpos*

3.0

4.6*

3.3

2.7

3.8

(± standard deviation)

(± 1.6)

(± 1.7)

(± 1.8)

(± 1.5)

(± 1.8)


The upper part of the table corresponds to the analysis of word structural properties. The intra-word structural variability is analysed using the Root Mean Square deviation (RMSd) between fragments corresponding to the same word (RMSdw). The inter-word structural variability is analysed using the RMSd between fragments of two different words (RMSddev). The lower part of the table corresponds to the analysis of sequential properties of words. The intra-word amino-acid preferences of a word are analysed using Zmax criterion (cf. Method section) and the number of significant position of a word (nbpos*). Numbers within brackets indicate standard deviations. *: significant differences according to the Kruskal-Wallis test. The RMSddev are computed on a subset of 890 words of Wset≥30. a: words sharing by long and short loops

Regad et al. BMC Bioinformatics 2010 11:75   doi:10.1186/1471-2105-11-75

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