caa a22 4500 47579298X CHVBK 20180406123715.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1007/BF02679980 doi (NATIONALLICENCE)springer-10.1007/BF02679980 Nonlinear determination of Michaelis-Menten kinetics with model evaluation through estimation of uncertainties [Elektronische Daten] [Graeme Mason, James Lai] A structured analytic approach was developed to evaluate enzyme kinetic parameters using non-linear least-squares fitting. The approach was implemented in a software package called KinSim and designed to run on Windows 95, 98, and NT platforms. The software and the theoretical approach were tested using kinetic data obtained using citrate synthase with acetyl CoA as a substrate and octanoyl CoA as an inhibitor. Using the software, the data were evaluated for statistical certainty of the presence of competitive and non-competitive inhibition of the enzyme. Given the determination of the presence of both components of inhibition in the experimental setup, the software was used to determine the inhibitory kinetics from the experimental data, including non-normal distributions of uncertainty. Finally, the software was used to evaluate the sensitivities of the experiment design at each concentration of substrate used. The theoretical approach as implemented in the user-friendly software allows investigators to use a structured procedure for evaluating and planning enzyme kinetic and related metabolic studies. Plenum Publishing Corporation, 2000 Michaelis-Menten nationallicence Enzyme Kinetics nationallicence Citrate Synthase nationallicence Computer Software nationallicence Non-Linear Fitting nationallicence Mason Graeme Departments of Psychiatry and Biomedical Engineering, Yale University, 06520 804, New Haven, CT aut Lai James Department of Pharmaceutical Sciences, College of Pharmacy, Idaho State University, 83209-8334, Pocatello, ID aut Metabolic Brain Disease Springer US 15/2(2000-06-01), 133-149 0885-7490 15:2<133 2000 15 11011 https://doi.org/10.1007/BF02679980 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02679980 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mason Graeme Departments of Psychiatry and Biomedical Engineering, Yale University, 06520 804, New Haven, CT aut NATIONALLICENCE 700 1- Lai James Department of Pharmaceutical Sciences, College of Pharmacy, Idaho State University, 83209-8334, Pocatello, ID aut NATIONALLICENCE 773 0- Metabolic Brain Disease Springer US 15/2(2000-06-01), 133-149 0885-7490 15:2<133 2000 15 11011 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer