Literature DB >> 25808291

Enzyme kinetics: the whole picture reveals hidden meanings.

Maria F Pinto1, Berta N Estevinho2, Rosa Crespo1, Fernando A Rocha2, Ana M Damas1, Pedro M Martins1,2.   

Abstract

The methodology adopted by Michaelis and Menten in 1913 is still routinely used to characterize the catalytic power and selectivity of enzymes. These kinetic measurements must be performed soon after the purified enzyme is mixed with a large excess of substrate. Other time scales and solution compositions are no less physiologically relevant, but fall outside the range of applicability of the classical formalism. Here we show that the complete picture of an enzyme's mode of function is critically obscured by the limited scope of conventional kinetic analysis, even in the simplest case of a single active site without inhibition. This picture is now unveiled in a mathematically closed form that remains valid over the reaction time for all combinations of enzyme/substrate concentrations and rate constants. Algebraic simplicity is maintained in the new formalism when stationary reaction phases are considered. By achieving this century-old objective, the otherwise hidden role of the reversible binding step is revealed and atypical kinetic profiles are explained. Most singular kinetic behaviors are identified in a critical region of conditions that coincide with typical cell conditions. Because it is not covered by the Michaelis-Menten model, the critical region has been missed until now by low- and high-throughput screenings of new drugs. New possibilities are therefore raised for novel and once-promising inhibitors to therapeutically target enzymes.
© 2015 FEBS.

Keywords:  Michaelis-Menten equation; enzyme inhibitors; enzyme kinetics; mathematical model; renewal theory

Mesh:

Substances:

Year:  2015        PMID: 25808291     DOI: 10.1111/febs.13275

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  4 in total

1.  Rapid assembly and profiling of an anticoagulant sulfoprotein library.

Authors:  Emma E Watson; Jorge Ripoll-Rozada; Ashley C Lee; Mike C L Wu; Charlotte Franck; Tim Pasch; Bhavesh Premdjee; Jessica Sayers; Maria F Pinto; Pedro M Martins; Shaun P Jackson; Pedro José Barbosa Pereira; Richard J Payne
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-20       Impact factor: 11.205

2.  Statistical Mechanics of Allosteric Enzymes.

Authors:  Tal Einav; Linas Mazutis; Rob Phillips
Journal:  J Phys Chem B       Date:  2016-04-29       Impact factor: 2.991

3.  Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters.

Authors:  Boseung Choi; Grzegorz A Rempala; Jae Kyoung Kim
Journal:  Sci Rep       Date:  2017-12-05       Impact factor: 4.379

4.  ICEKAT: an interactive online tool for calculating initial rates from continuous enzyme kinetic traces.

Authors:  Michael D Olp; Kelsey S Kalous; Brian C Smith
Journal:  BMC Bioinformatics       Date:  2020-05-14       Impact factor: 3.169

  4 in total

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