A simple statistical method for use in kinetic analysis based on Lineweaver-Burk plots
作者： Thorsten A. Fjellstedt , James J. Schlesselman
DOI: 10.1016/0003-2697(77)90641-8
关键词: Simple (abstract algebra) 、 Goodness of fit 、 Statistical hypothesis testing 、 Linearity 、 Lineweaver–Burk plot 、 Applied mathematics 、 Mathematics 、 Kinetic analysis 、 Substrate concentration
摘要: Abstract Statistical methods for the analysis of initial-velocity and/or inhibition data are described. They involve application F tests (i) to determine goodness fit first-order Michaelis-Menten equation, (ii) predict reaction mechanism by assessing slope and y -intercept effects in Lineweaver-Burk plots according inspection rules Cleland [Cleland, W. (1963) Biochim. Biophys. Acta 67 , 188–196], (iii) test linearity replots slopes or -intercepts versus reciprocal substrate concentration inhibitor concentration, (iv) estimate true K m i values from these replots. The method serves fill a gap kinetic methodology between antiquated graphical sophisticated direct computer-fitting variety possible rate equations. entire theoretical computational format is provided allow investigator apply statistical his using only desk-top calculator.
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