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We analyzed the "PNI-SNG-Z-score" bilinear multiple correlation coefficients (Figure S1 and Table S3).
In 66 of the 75 families we studied, the difference between "PNI-SNG-Z-score" bilinear multiple correlation coefficients and "PNI-SNG-RMSD" bilinear multiple correlation coefficients is less than 0.1.
In all the 75 families, the bilinear multiple correlation coefficients and their medians are significant (p<0.01) using different similarity matrix (BLOSUM50, BLOSUM62 or BLOSUM80) [30] (Table 1).
If the effect on structures from non-conservative substitutions is much more significant than that from conservative substitutions, the bilinear multiple correlation coefficients will increase by replacing PNI with PNS.
However, in most of the families, there is no significant difference between bilinear multiple correlation coefficients produced by using PNI and PNS (different substitutions are measured by BLOSUM50, BLOSUM62 and BLOSUM80 matrix) (Figure 4).
Although for most of the families studied, the bilinear correlation of PNI and SNG versus RMSD is statistically significant, the bilinear multiple correlation coefficients are still highly varied among the families.
Similar(54)
An analysis on 52 families with high bilinear fitting multiple correlation coefficients and statistically significant regression coefficients showed that SSS is mainly constrained by disulfide bonds, which almost have no effects on SIDS.
To estimate correlation, multiple correlation coefficients were applied.
The value of multiple correlation coefficients (r) has been obtained as 0.95.
Moreover, the multiple correlation coefficients (R2) were used to express the fit of this first model.
Where n: number of compounds; R: multiple correlation coefficients; SE: standard error.
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