Robust regression of enzyme kinetic data
- 15 February 1986
- journal article
- research article
- Published by Portland Press Ltd. in Biochemical Journal
- Vol. 234 (1) , 21-29
- https://doi.org/10.1042/bj2340021
Abstract
A method described previously [Cornish-Bowden and Endrenyi (1981) Biochem. J. 193, 1005-1008] for fitting theoretical equations to enzyme kinetic data without prior knowledge of weights or reror distribution was been tested by computer simulation. With the equations for various kinds of linear inhibiton as an example, the method performed well under all of the conditions examined, giving results that were often much better than those given by widely used least-squares alternatives, and were never appreciably worse. Although equations for two-substrate kinetics were not explicitly tested, the results for inhibition equations can be generalized to include two-substrate equations because the two are formally equivalent for simulation purposes. As a check on the results with inhibition equations the method was also tested for fitting bell-shaped pH-activity profiles and gave correspondingly good results.This publication has 6 references indexed in Scilit:
- Use of the F test for determining the degree of enzyme-kinetic and ligand-binding data. A Monte Carlo simulation studyBiochemical Journal, 1983
- Fitting of enzyme kinetic data without prior knowledge of weightsBiochemical Journal, 1981
- Evaluation of distribution-free confidence limits for enzyme kinetic parametersJournal of Theoretical Biology, 1978
- Estimation of Michaelis constant and maximum velocity from the direct linear plotBiochimica et Biophysica Acta (BBA) - Enzymology, 1978
- The direct linear plot. A new graphical procedure for estimating enzyme kinetic parametersBiochemical Journal, 1974
- Statistical considerations in the estimation of enzyme kinetic parameters by the direct linear plot and other methodsBiochemical Journal, 1974