Nonequivalence of transketolase active centers with respect to acceptor substrate binding

The interaction of transketolase with its acceptor substrate, ribose 5-phosphate, has been studied. The active centers of the enzyme were shown to be functionally nonequivalent with respect to ribose 5-phosphate binding. Under the conditions where only one out of the two active centers of transketolase is functional, their affinities for ribose 5-phosphate are identical. The phenomenon of nonequivalence becomes apparent when the substrate interacts with one of the two active centers. As a consequence of such interaction, the affinity of the second active center for ribose 5-phosphate decreases.     

Plug‐in tests for nonequivalence of means of independent normal populations

In this paper, we consider the problem of testing nonequivalence of several independent normal population means. It is a well‐known problem to test the equality of several means using the analysis of variance (ANOVA). Instead of determining the equality, one may consider more flexible homogeneity, which allows a predetermined level of difference. This problem is known as testing nonequivalence of populations. We propose the plug‐in statistics for two different measures of variability: the sum of the absolute deviations and the maximum of the absolute deviations. For each test, the least favorable configuration (LFC) to ensure the maximum rejection probability under the null hypothesis is investigated. Furthermore, we demonstrate the numerical studies based on both simulation and real data to evaluate the plug‐in tests and compare these with the range test.