MIR: A versatile program for the statistical analysis of enzyme kinetic data

✍ Scribed by Riccardo Bianchi; Giorgio M. Hanozet; Mirella P. Simonetta

• Publisher: Elsevier Science
• Year: 1983
• Weight: 507 KB
• Volume: 16
• Category: Article
• ISSN: 0010-468X
• DOI: 10.1016/0010-468x(83)90080-6

✦ Synopsis

We have developed a package program for the estimation of Michaelis-Menten parameters for enzymes that conform to different kinetic mechanisms. Data from different experimental schemes can be fitted with appropriate weighting factors to any of 6 mathematical models, corresponding to 5 kinetic mechanisms: ordered bi-bi, TheorelI-Chance, rapid equilibrium random bi-bt, rapid equilibrium ordered bi-bi and ping pong bi-bi. The program also performs a significance test to discriminate between different candidate models. To illustrate the performaace of the program, real data from kinetic experiments with glucose 6-phosphate from Leuconostoc mesenteroides have been fitted to different mathematical models, and the results are discussed. The program can be easily implemented f, .-the fitting of kinetic data to any other model.