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Fig. 2 Performance of different target classes.
The target classes contain 50 625 actives.
The celTRF is readily applicable to other protein target classes.
HMMs with one state for all target classes were used.
Target classes are explosion, gunshot, screamed, and normal speech.
Target classes were assigned according to an internal schema.
Each leaf node represents one of the target classes.
Furthermore, the crystal structures of some target classes (e.g., kinases) can be obtained much more readily than those of other target classes (e.g., G protein-coupled receptors).
Amongst others, kinases and GPCRs were identified as the most important target classes.
Figure 6 Shape interpolation along the view and identity manifolds for six target classes.
CAIM discretizes with the number of intervals close to the number of target classes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com