Literature DB >> 28737397

Conformational Nonequilibrium Enzyme Kinetics: Generalized Michaelis-Menten Equation.

D Evan Piephoff1, Jianlan Wu1, Jianshu Cao1.   

Abstract

In a conformational nonequilibrium steady state (cNESS), enzyme turnover is modulated by the underlying conformational dynamics. On the basis of a discrete kinetic network model, we use an integrated probability flux balance method to derive the cNESS turnover rate for a conformation-modulated enzymatic reaction. The traditional Michaelis-Menten (MM) rate equation is extended to a generalized form, which includes non-MM corrections induced by conformational population currents within combined cyclic kinetic loops. When conformational detailed balance is satisfied, the turnover rate reduces to the MM functional form, explaining its general validity. For the first time, a one-to-one correspondence is established between non-MM terms and combined cyclic loops with unbalanced conformational currents. Cooperativity resulting from nonequilibrium conformational dynamics can be achieved in enzymatic reactions, and we provide a novel, rigorous means of predicting and characterizing such behavior. Our generalized MM equation affords a systematic approach for exploring cNESS enzyme kinetics.

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Year:  2017        PMID: 28737397     DOI: 10.1021/acs.jpclett.7b01210

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  2 in total

1.  Structural conditions on complex networks for the Michaelis-Menten input-output response.

Authors:  Felix Wong; Annwesha Dutta; Debashish Chowdhury; Jeremy Gunawardena
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-07       Impact factor: 11.205

2.  Nonlinear Analytics for Electrochemical Biosensor Design Using Enzyme Aggregates and Delayed Mass Action.

Authors:  Vasyl Martsenyuk; Aleksandra Klos-Witkowska; Sergei Dzyadevych; Andriy Sverstiuk
Journal:  Sensors (Basel)       Date:  2022-01-27       Impact factor: 3.576

  2 in total

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