For the biocatalytic preparation of optically active amines, omega-transaminases (omega-TA) are of special interest since they allow the asymmetric synthesis starting from prostereogenic ketones with 100% yield. To facilitate the purification and characterization of novel omega-TA, a fast kinetic assay was developed based on the conversion of the widely used model substrate alpha-methylbenzylamine, which is commonly accepted by most of the known omega-TAs. The product from this reaction, acetophenone, can be detected spectrophotometrically at 245 nm with high sensitivity (epsilon = 12 mM(-1) cm(-1)), since the other reactants show only a low absorbance. Besides the standard substrate pyruvate, all low-absorbing ketones, aldehydes, or keto acids can be used as cosubstrates, and thus the amino acceptor specificity of a given omega-TA can be obtained quickly. Furthermore, the assay allows the fast investigation of enzymatic properties like pH and temperature optimum and stability. This method was used for the characterization of a novel omega-TA cloned from Rhodobacter sphaeroides, and the data obtained were in excellent accordance with a standard capillary electrophoresis assay.

The integrated minimal model allows assessment of clinical diagnosis indices, for example, insulin sensitivity (S I) and glucose effectiveness (S G), from data of the insulin-modified intravenous glucose tolerance test (IVGTT), which is laborious with an intense sampling schedule, up to 32 samples. The aim of this study was to propose a more informative, although less laborious, IVGTT design to be used for model-based assessment of S I and S G. The IVGTT design was optimized simultaneously for all design variables: glucose and insulin infusion doses, time of glucose dose and start of insulin infusion, insulin infusion duration, sampling times, and number of samples. Design efficiency was used to compare among different designs. The simultaneously optimized designs showed a profound higher efficiency than both standard rich (32 samples) and sparse (10 samples) designs. The optimized designs, after removing replicate sample times, were 1.9 and 7.1 times more efficient than the standard rich and sparse designs, respectively. After including practical aspects of the designs, for example, sufficient duration between samples and avoidance of prolonged hypoglycemia, we propose 2 practical designs with fewer sampling times and lower input of glucose and insulin than standard designs, constrained to prevent hypoglycemia. The optimized practical rich design is equally efficient in assessing S I and S G as the rich standard design, but with half the number of the samples, while the optimized practical sparse design has 1 less sample and requires 4.6 times fewer individuals for equal certainty when assessing S I and S G than the sparse standard design.