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In comparison to the composite average retired kinase inhibitor selectively average no longer marketed, and the average phase III compound is much aselective. The effects of the therapy area exclude bite, we have also analyzed the compounds Apixaban in oncology, which is the only therapeutic area with a statistically significant amount of projects. This leads to a Hnlichen circuit. In order to exclude the impact of the time of this analysis S, we repeated the analysis for those compounds entered Phase I clinical trials before 2005. This shows even more clearly that the compounds selectively generally successful if necessary.
Behind these statistics lies the success of, for example, the spectrum of selective drugs, dasatinib, sorafenib and sunitinib, and the failure of the drugs highly selective MEK targeted PD 0325901 and IC 1040th Because 66,100% of the compounds in each bin analyzed clinical oncology are developed, our result is the first oncology in effect until further kinase inhibitors in the clinic for other indications. However, the finding is that selective kinase inhibitor less likely early clinical trials polypharmacology fuels the idea that is sometimes necessary to survive in order to achieve an effect. Conclusions to the selectivity t Than a single value, to quantify the profiling data in parallel experiments together, we provided a method of entropy selectivity t, And compared to other existing methods. The best way w Avoid re artifacts that the classification made obscure, and show consistent values through profiling methods. Based on these criteria is the selectivity t entropy is the best method.
A few Restrict ONS are necessary. Zun Highest method is applied in the direction of entropy in information theory, which is different from the entropy in the direction of oscillation modes in the active sites of enzymes. W While these oscillations may be a physical basis for selectivity His t, our method is capable of computer big e compress data. Second, selectivity metric ignores all t, that produces a value typically the importance of specific individual goals. Therefore, the entropy is generally useful tools for the characterization of compounds and drug candidates, but if avoiding the specific targets that are hit, or, the Kds of these individual goals should be monitored.