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Figure 1 | Journal of Cheminformatics

Figure 1

From: Are phylogenetic trees suitable for chemogenomics analyses of bioactivity data sets: the importance of shared active compounds and choosing a suitable data embedding method, as exemplified on Kinases

Figure 1

The human kinome as described by Manning et al. [[5]] on the basis of sequence similarity. Outlier kinases (marked in green) will be discussed later in the text. In our revised analysis, kinases showed much better agreement with respect to the expected negative relationship between SAC score (a score based on the fraction of shared active compounds between kinases) and bioactivity distance: only 7 kinases (VEGFR3, ACK1, LYN, CSK21, CSK22, IGF1R and WNK2) were classified as outliers. CSK21 and CSK22 are represented by the same kinase in the tree above and therefore, there are only 6 distinct kinases marked.

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