**Figure 1 - Kinome-wide activity regulation derived from known substrates and 41 quantitative phosphoproteomic studies.**
**A** Schematic of the data compilation effort and kinase activity prediction using Kinase Set Enrichment Analysis (KSEA).
**B** Expected kinase response after activation or inhibition. When available, error bars represent standard deviation over the mean KSEA Activity.
**C** Receiver Operating Characteristic (ROC) representing the discriminative power of the KSEA Activity to separate a set of 132 kinase-conditions expected to display regulation. As negatives, 1000 random sets were generated containing the same number of kinase-condition pairs from the same set of kinases and conditions. Curve displays average ROC curve and bars standard deviation. *AUC*, Area Under ROC Curve.
**D** Regression analysis between Aurora Kinase A (AURKA) regulatory site T287 and AURKA KSEA activity across all quantified conditions. Labelled conditions correspond to different concentrations of the AURKA inhibitor MLN8054 under Mitosis.
**E** Comparison between Spearman correlation coefficients obtained between KSEA-inferred kinase activities, quantifications of regulatory sites susceptible of auto-phosphorylation or other regulatory sites in kinases. \* Two-sided Student's t-test \(p=1.7\times10^{-4}\).
**F** Linear regression between KSEA activities 10 minutes after EGF stimulation and activities measured with RPPA targeting regulatory phosphorylations 15 minutes after adding EGF. 
**G** Spearman correlation coefficients between the profile of 24 kinase activities estimated with KSEA 10 min after EGF stimulation and the activities of the same kinases measured with RPPA after stimulating the cell with different ligands. EGFR ligands, EGF or NRG1; other growth factors (GF), HGF, IGF, Insulin or FGF; or control conditions, Serum or PBS. \*\* Two-sided Student's t-test \(p=0.005\). \*\*\* \(p=0.004\).