Ryan Walsh1, Earl Martin, Sultan Darvesh. 1. Department of Chemistry, Carleton University, 203 Steacie Building, 1125 Colonel By Drive, Ottawa, Ontario K1S5B6, Canada. rwalsh@connect.carleton.ca
Abstract
BACKGROUND: Complete analysis of single substrate enzyme-catalyzed reactions has required a separate use of two distinct approaches. Steady state approximations are employed to obtain substrate affinity and initial velocity information. Alternatively, first order exponential decay models permit simulation of the time course data for the reactions. Attempts to use integrals of steady state equations to describe reaction time courses have so far met with little success. METHODS: Here we use equations based on steady state approximations to directly model time course plots. RESULTS: Testing these expressions with the enzyme beta-galactosidase, which adheres to classical Michaelis-Menten kinetics, produced a good fit between observed and calculated values. GENERAL SIGNIFICANCE: This study indicates that, in addition to providing information on initial kinetic parameters, steady state approximations can be employed to directly model time course kinetics. Integrated forms of the Michaelis-Menten equation have previously been reported in the literature. Here we describe a method to directly apply steady state approximations to time course analysis for predicting product formation and simultaneously obtain multiple kinetic parameters.
BACKGROUND: Complete analysis of single substrate enzyme-catalyzed reactions has required a separate use of two distinct approaches. Steady state approximations are employed to obtain substrate affinity and initial velocity information. Alternatively, first order exponential decay models permit simulation of the time course data for the reactions. Attempts to use integrals of steady state equations to describe reaction time courses have so far met with little success. METHODS: Here we use equations based on steady state approximations to directly model time course plots. RESULTS: Testing these expressions with the enzyme beta-galactosidase, which adheres to classical Michaelis-Menten kinetics, produced a good fit between observed and calculated values. GENERAL SIGNIFICANCE: This study indicates that, in addition to providing information on initial kinetic parameters, steady state approximations can be employed to directly model time course kinetics. Integrated forms of the Michaelis-Menten equation have previously been reported in the literature. Here we describe a method to directly apply steady state approximations to time course analysis for predicting product formation and simultaneously obtain multiple kinetic parameters.
Authors: Nicholas J Agard; Sami Mahrus; Jonathan C Trinidad; Aenoch Lynn; Alma L Burlingame; James A Wells Journal: Proc Natl Acad Sci U S A Date: 2012-01-23 Impact factor: 11.205
Authors: Ana Clara Sabbione; Sabrina M Ibañez; E Nora Martínez; María Cristina Añón; Adriana A Scilingo Journal: Plant Foods Hum Nutr Date: 2016-06 Impact factor: 3.921