Literature DB >> 8476864

Analysis of enzyme specificity by multiple substrate kinetics.

V Schellenberger1, R A Siegel, W J Rutter.   

Abstract

Multiple approaches for screening large sets of compounds for a specific function are of growing interest. The use of substrate mixtures to characterize the specificity of enzymes has been limited so far to compounds with similar kinetic parameters, because the data were analyzed by applying the kinetics of two competing substrates. In this study we introduce a statistical method for the analysis of reactions with many competing substrates which makes use of the specific features of multiple substrate kinetics. It is assumed that the relative concentrations of all substrates in a mixture can be monitored by high-performance liquid chromatography or a similar technique. Relative second-order rate constants, i.e., kcat/KM values, can be calculated for all substrates in the mixture from the resulting data set. The calculation uses the fact that there is a relationship between the concentrations of all pairs of substrates in the mixture. As a result, the precision of the calculated parameters is increased and the range of kinetic constants that can be obtained from one experiment is considerably expanded. Simulations demonstrate that the precision in the kinetic parameters increases with the number of substrates in the mixture. In fact, estimation of ratios of rate constants can be improved (or made possible) for substrates with order of magnitude differences in reactivity by adding "dummy" substrates with intermediate reactivities, even though the rate constants for dummy substrates are themselves of no intrinsic interest.

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Year:  1993        PMID: 8476864     DOI: 10.1021/bi00067a025

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  18 in total

1.  Real-time measurements of dark substrate catalysis.

Authors:  D Xie; L Suvorov; J W Erickson; A S Gulnik
Journal:  Protein Sci       Date:  1999-11       Impact factor: 6.725

2.  Two amino acid replacements change the substrate preference of DNA mismatch glycosylase Mig.MthI from T/G to A/G.

Authors:  Yvonne N Fondufe-Mittendorf; Christine Härer; Wilfried Kramer; Hans-Joachim Fritz
Journal:  Nucleic Acids Res       Date:  2002-01-15       Impact factor: 16.971

3.  Mapping specificity landscapes of RNA-protein interactions by high throughput sequencing.

Authors:  Eckhard Jankowsky; Michael E Harris
Journal:  Methods       Date:  2017-03-02       Impact factor: 3.608

4.  Determination of hepatitis delta virus ribozyme N(-1) nucleobase and functional group specificity using internal competition kinetics.

Authors:  Daniel L Kellerman; Kandice S Simmons; Mayra Pedraza; Joseph A Piccirilli; Darrin M York; Michael E Harris
Journal:  Anal Biochem       Date:  2015-05-01       Impact factor: 3.365

5.  Phylogenetic sequence analysis and functional studies reveal compensatory amino acid substitutions in loop 2 of human ribonucleotide reductase.

Authors:  Andrew J Knappenberger; Sneha Grandhi; Reena Sheth; Md Faiz Ahmad; Rajesh Viswanathan; Michael E Harris
Journal:  J Biol Chem       Date:  2017-08-14       Impact factor: 5.157

6.  Enzyme Kinetics for Complex System Enables Accurate Determination of Specificity Constants of Numerous Substrates in a Mixture by Proteomics Platform.

Authors:  Zhenzhen Deng; Jiawei Mao; Yan Wang; Hanfa Zou; Mingliang Ye
Journal:  Mol Cell Proteomics       Date:  2016-11-16       Impact factor: 5.911

7.  Kinetic analysis of the selectivity of acylcarnitine synthesis in rat mitochondria.

Authors:  Victor C Gavino; Sylvie Cordeau; Grace Gavino
Journal:  Lipids       Date:  2003-04       Impact factor: 1.880

Review 8.  Measuring specificity in multi-substrate/product systems as a tool to investigate selectivity in vivo.

Authors:  Yin-Ming Kuo; Ryan A Henry; Andrew J Andrews
Journal:  Biochim Biophys Acta       Date:  2015-08-29

9.  Determination of relative rate constants for in vitro RNA processing reactions by internal competition.

Authors:  Hsuan-Chun Lin; Lindsay E Yandek; Ino Gjermeni; Michael E Harris
Journal:  Anal Biochem       Date:  2014-08-28       Impact factor: 3.365

10.  Conformational equilibria and rates of localized motion within hepatitis B virus capsids.

Authors:  Jonathan K Hilmer; Adam Zlotnick; Brian Bothner
Journal:  J Mol Biol       Date:  2007-10-22       Impact factor: 5.469

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