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[摘要]：An exhaustive computational exercise on a comprehensive set of 15 therapeutic kinase inhibitors was undertaken to indentify as to which compounds hit which kinase off-targets in the human kinome. Although the kinase selectivity propensity of each inhibitor against similar to 480 kinase targets is predicted, we compared our predictions to similar to 280 kinase targets for which consistent experimental data are available and demonstrate an overall average prediction accuracy and specificity of similar to 90%. A comparison of the predictions was extended to a additional similar to 60 kinases for sorafenib and sunitinib as new experimental data were reported recently with similar prediction accuracy. The successful predictive capabilities allowed us to propose predictions on the remaining kinome targets in an effort to repurpose known kinase inhibitors to these new kinase targets that could hold therapeutic potential. |
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