scholarly journals Validity of the jack-knife technique for analysing enzyme kinetic data

1980 ◽  
Vol 185 (2) ◽  
pp. 535-536 ◽  
Author(s):  
A Cornish-Bowden ◽  
J T Wong
Keyword(s):  
Kinetic Parameters ◽  
Kinetic Data ◽  
Enzyme Kinetic

An observation by Duggleby [Biochem. J. (1979) 181, 255-256] that estimates of kinetic parameters by the jack-knife technique [Cornish-Bowden & Wong (1978) Biochem. J. 175, 969-976] are sometimes outside the range of estimates from which they are calculated has been examined. No significant correlation has been found between the occurrence of this behaviour and the actual quality of the estimates.

scholarly journals Statistical considerations in the estimation of enzyme kinetic parameters by the direct linear plot and other methods

1974 ◽  
Vol 139 (3) ◽  
pp. 721-730 ◽  
Author(s):  
Athel Cornish-Bowden ◽  
Robert Eisenthal
Keyword(s):  
Least Squares ◽  
Kinetic Parameters ◽  
Kinetic Data ◽  
Experimental Error ◽  
Preceding Paper ◽  
Enzyme Kinetic ◽  
Confidence Limits ◽  
Method Of Least Squares ◽  
Linear Plot ◽  
Least Squares Estimates

The statistical implications of the direct linear plot for enzyme kinetic data, described in the preceding paper (Eisenthal & Cornish-Bowden, 1974), are discussed for the case of the Michaelis–Menten equation. The plot is shown to lead directly to non-parametric confidence limits for the kinetic parameters, V and Km, which depend on far less sweeping assumptions about the nature of experimental error than those implicit in the method of least squares. Median estimates of V and Km can also be defined, which are shown to be more robust than the least-squares estimates in a wide variety of experimental situations.

scholarly journals Treatment of Enzyme Kinetic Data

1967 ◽  
Vol 242 (18) ◽  
pp. 4045-4052 ◽  
Author(s):  
Carl Frieden
Keyword(s):  
Kinetic Data ◽  
Enzyme Kinetic

Analytical method for the estimation of enzyme kinetic parameters

1969 ◽  
Vol 191 (1) ◽  
pp. 155-157 ◽  
Author(s):  
A.P. Brestkin ◽  
E.V. Rozengart ◽  
V.A. Samokish ◽  
I.N. Soboleva
Keyword(s):  
Kinetic Parameters ◽  
Analytical Method ◽  
Enzyme Kinetic

scholarly journals Evaluated kinetic and photochemical data for atmospheric chemistry: Volume II – reactions of organic species

2005 ◽  
Vol 5 (4) ◽  
pp. 6295-7168 ◽  
Author(s):  
R. Atkinson ◽  
D. L. Baulch ◽  
R. A. Cox ◽  
J. N. Crowley ◽  
R. F. Hampson ◽  
...  
Keyword(s):  
Kinetic Parameters ◽  
Gas Phase ◽  
Atmospheric Chemistry ◽  
Kinetic Data ◽  
Photochemical Reactions ◽  
Data Evaluation ◽  
Organic Species ◽  
Summary Sheet

Abstract. This article, the second in the series, presents kinetic and photochemical data evaluated by the IUPAC Subcommittee on Gas Kinetic Data Evaluation for Atmospheric Chemistry. It covers the gas phase and photochemical reactions of Organic species, which were last published in 1999, and were updated on the IUPAC website in late 2002. The article consists of a summary sheet, containing the recommended kinetic parameters for the evaluated reactions, and eight appendices containing the data sheets, which provide information upon which the recommendations are made.

scholarly journals The quantitative analysis of ligand binding and initial-rate data for allosteric and other complex enzyme mechanisms

1976 ◽  
Vol 153 (1) ◽  
pp. 101-117 ◽  
Author(s):  
W G Bardsley
Keyword(s):  
Kinetic Data ◽  
Quantitative Data ◽  
Initial Rate ◽  
Graphical Methods ◽  
Enzyme Kinetic ◽  
Rate Data ◽  
Curve Shape ◽  
High Substrate Concentration ◽  
Complex Curve ◽  
Complex Curves

1. The eight methods for plotting enzyme kinetic data are classified and analysed, and it is shown how, in each case, it is only possible to obtain quantitative data on the coefficients of the lowest- and highest-degree terms in the rate equation. 2. The combinations of coefficients that are accessible experimentally from limiting slopes and intercepts at both low and high substrate concentration are stated for all the graphical methods and the precise effects of these on curve shape in different spaces is discussed. 3. Ambiguities arising in the analysis of complex curves and certain special features are also investigated. 4. Four special ordering functions are defined and investigated and it is shown how knowledge of these allows a complete description of all possible complex curve shapes.

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