| Â | PM | FPE | SC85 | Rate4Site | ET | SDPpred |
|---|
PM
| --- | --- | --- | --- | --- | --- |
FPE
| 0.62 | --- | --- | --- | --- | --- |
SC85
| 0.62 | 0.69 | --- | --- | --- | --- |
Rate4Site
| 0.66 | 0.49 | 0.59 | --- | --- | --- |
ET
| 0.69 | 0.64 | 0.62 | 0.62 | --- | --- |
SDPpred
| 0.80 | 0.66 | 0.86 | 0.71 | 0.64 | --- |
- 1 Complementarity is calculated as the Euclidean distance between each vector pair describing the results within Table 2, meaning each vector has 34 dimensions. Each dimension is simply a binary possibility (1 = predicted functional site; 0 = not predicted functional site). The values reported are normalized such that two completely orthogonal vectors will have a distance of one; two vectors that are absolutely the same will have a distance of 0.00, whereas two completely orthogonal vectors will have a distance of 1.00. The average value and standard deviation across the matrix are 0.66 and 0.09, respectively, which corresponds to 15.0 and 4.1 differences.
