10.7554/eLife.08932.009 Figure 4. Improvement in contact prediction as a function of the distance used to define a physical contact.
These data, therefore, show again that the improvement in contact prediction upon combining amino acid and codon data is greatest when the distance used for contact definition does not lead to many pairs being defined in contact when in fact they are not in direct physical contact.
I V characteristics, measured from Schottky diodes produced from the samples, reflect such microstructure evolution and demonstrate a strong improvement in contact properties at high temperatures.
Therefore, the improvement of contact fatigue life of cellular solids mainly depends on porosity and the corresponding change of subsurface stress distribution due to the influence of bending stress rather than contact deformation.
As the depth increases, the adhesion strength depends on the competition between residual stress caused by the presence of air and stress release due to the improvement of contact area ratio.
However, the improvement with contact lenses in these eyes was significantly greater over spectacle correction.
The improvement in contact pair prediction by the two-level method is around 3% (P-value = 2.4e-6).
The mean of the extent of improvement in contact prediction for 114 domains (or 86 in the case of PSICOV) is plotted as a function of the distance that must exist between two Cβ atoms in different residues in order for them to be defined as being in contact.
The mean of the extent of improvement in contact prediction for 114 domains (or 86 in the case of PSICOV) was, therefore, determined as a function of the distance that must exist between at least two Cβ atoms in different residues in order for them to be defined as being in contact.
(A ) The median of the extent of improvement in contact prediction for 114 MSAs (86 in the case of PSICOV) is plotted as a function of the value of the power α which determines the relative weights of the amino acid and codon correlations in the score, Si Sii = Siα AA)/Si(C), where Si AA) and Si(C) are the respective amino acid and codon scores generated by method i).
