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If we modify the link so that it prevents nor kinase-X is specific with a Kd value of 1 nM, but less strongly inhibits kinase Y with a Kd of 1 M, then the new inhibitor. Now Kx / Ka 109 and / Ky / Ka 106 /, which then causes no SSEL 0.0079. This number is less than 0.69. This shows that the entropy can distinguish selectivity t, if the notes of the selectivity of t S and S can not. A less selective inhibitor, which binds three goals with CDR of 1 nM SSEL three 1.08, and an even more promiscuous inhibitor of the five goals, including normal 1.3 nm and 1.2 M, K 3 binds Second September 3.002 06 09 and 3 SSEL 2 3.07. SSEL and allm Hlich, increases if the goals st Are more strongly affected. If we, the A and B inhibitors, the tt exp HNT have to take, then A has a K- 10th September 8th February 09 and 10 SSEL 1.
84. This is worth more than aselective B inhibitor with an inhibition profile of twice 1 nM, the SSEL 0.69. And entropy selectivity can distinguish t, if the partition coefficient of Pmax can not do it. Compared with other methods defined by entropy, we have then examined its performance against the h Ufigsten methods used, a set of data from any public profile kinase inhibitors 38 of 290 mutant. The values of the Gini score, S, S, and partition coefficient were taken from previous work. To this we added a Ka value of Gini and entropy selectivity t. The Gini coefficient is a Gini score of Kas Ka calculated directly, without going back to values-owned% inhibition. Each of these points, we have established a ranking of inhibitor selectivity of t and is classified differently than the entropy method. In addition, for a panel U first data profiling, we have a map on Warmth activity t. According to the rankings, it is ap