Literature DB >> 16616138

The catalytic power of enzymes: conformational selection or transition state stabilization?

Jesús Giraldo1, David Roche, Xavier Rovira, Juan Serra.   

Abstract

The mechanism by which enzymes produce enormous rate enhancements in the reactions they catalyze remains unknown. Two viewpoints, selection of ground state conformations and stabilization of the transition state, are present in the literature in apparent opposition. To provide more insight into current discussion about enzyme efficiency, a two-state model of enzyme catalysis was developed. The model was designed to include both the pre-chemical (ground state conformations) and the chemical (transition state) components of the process for the substrate both in water and in the enzyme. Although the model is of general applicability, the chorismate to prephenate reaction catalyzed by chorismate mutase was chosen for illustrative purposes. The resulting kinetic equations show that the catalytic power of enzymes, quantified as the k(cat)/k(uncat) ratio, is the product of two terms: one including the equilibrium constants for the substrate conformational states and the other including the rate constants for the uncatalyzed and catalyzed chemical reactions. The model shows that these components are not mutually exclusive and can be simultaneously present in an enzymic system, being their relative contribution a property of the enzyme. The developed mathematical expressions reveal that the conformational and reaction components of the process perform differently for the translation of molecular efficiency (changes in energy levels) into observed enzymic efficiency (changes in k(cat)), being, in general, more productive the component involving the transition state.

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Year:  2006        PMID: 16616138     DOI: 10.1016/j.febslet.2006.03.060

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  3 in total

1.  Substrate distortion contributes to the catalysis of orotidine 5'-monophosphate decarboxylase.

Authors:  Masahiro Fujihashi; Toyokazu Ishida; Shingo Kuroda; Lakshmi P Kotra; Emil F Pai; Kunio Miki
Journal:  J Am Chem Soc       Date:  2013-11-11       Impact factor: 15.419

2.  Molecular Mechanism of Protein Arginine Deiminase 2: A Study Involving Multiple Microsecond Long Molecular Dynamics Simulations.

Authors:  Erdem Cicek; Gerald Monard; Fethiye Aylin Sungur
Journal:  Biochemistry       Date:  2022-06-23       Impact factor: 3.321

3.  How the Destabilization of a Reaction Intermediate Affects Enzymatic Efficiency: The Case of Human Transketolase.

Authors:  Mario Prejanò; Fabiola E Medina; Maria J Ramos; Nino Russo; Pedro A Fernandes; Tiziana Marino
Journal:  ACS Catal       Date:  2020-02-07       Impact factor: 13.084

  3 in total

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