Literature DB >> 18052268

Continuum simulations of acetylcholine consumption by acetylcholinesterase: a Poisson-Nernst-Planck approach.

Y C Zhou1, Benzhuo Lu, Gary A Huber, Michael J Holst, J Andrew McCammon.   

Abstract

The Poisson-Nernst-Planck (PNP) equation provides a continuum description of electrostatic-driven diffusion and is used here to model the diffusion and reaction of acetylcholine (ACh) with acetylcholinesterase (AChE) enzymes. This study focuses on the effects of ion and substrate concentrations on the reaction rate and rate coefficient. To this end, the PNP equations are numerically solved with a hybrid finite element and boundary element method at a wide range of ion and substrate concentrations, and the results are compared with the partially coupled Smoluchowski-Poisson-Boltzmann model. The reaction rate is found to depend strongly on the concentrations of both the substrate and ions; this is explained by the competition between the intersubstrate repulsion and the ionic screening effects. The reaction rate coefficient is independent of the substrate concentration only at very high ion concentrations, whereas at low ion concentrations the behavior of the rate depends strongly on the substrate concentration. Moreover, at physiological ion concentrations, variations in substrate concentration significantly affect the transient behavior of the reaction. Our results offer a reliable estimate of reaction rates at various conditions and imply that the concentrations of charged substrates must be coupled with the electrostatic computation to provide a more realistic description of neurotransmission and other electrodiffusion and reaction processes.

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Year:  2007        PMID: 18052268     DOI: 10.1021/jp074900e

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  9 in total

1.  Hybrid finite element and Brownian dynamics method for diffusion-controlled reactions.

Authors:  Patricia Bauler; Gary A Huber; J Andrew McCammon
Journal:  J Chem Phys       Date:  2012-04-28       Impact factor: 3.488

2.  Self-consistent treatment of the local dielectric permittivity and electrostatic potential in solution for polarizable macromolecular force fields.

Authors:  Sergio A Hassan
Journal:  J Chem Phys       Date:  2012-08-21       Impact factor: 3.488

3.  Hybrid finite element and Brownian dynamics method for charged particles.

Authors:  Gary A Huber; Yinglong Miao; Shenggao Zhou; Bo Li; J Andrew McCammon
Journal:  J Chem Phys       Date:  2016-04-28       Impact factor: 3.488

4.  Differential geometry based multiscale models.

Authors:  Guo-Wei Wei
Journal:  Bull Math Biol       Date:  2010-02-19       Impact factor: 1.758

5.  Kinetics of diffusion-controlled enzymatic reactions with charged substrates.

Authors:  Benzhuo Lu; J Andrew McCammon
Journal:  PMC Biophys       Date:  2010-01-18

6.  Enzymatic activity versus structural dynamics: the case of acetylcholinesterase tetramer.

Authors:  Alemayehu A Gorfe; Benzhuo Lu; Zeyun Yu; J Andrew McCammon
Journal:  Biophys J       Date:  2009-08-05       Impact factor: 4.033

7.  Variational multiscale models for charge transport.

Authors:  Guo-Wei Wei; Qiong Zheng; Zhan Chen; Kelin Xia
Journal:  SIAM Rev Soc Ind Appl Math       Date:  2012-11-08       Impact factor: 10.780

8.  Poisson-Nernst-Planck Equations for Simulating Biomolecular Diffusion-Reaction Processes I: Finite Element Solutions.

Authors:  Benzhuo Lu; Michael J Holst; J Andrew McCammon; Y C Zhou
Journal:  J Comput Phys       Date:  2010-09-20       Impact factor: 3.553

9.  Molecular surface-free continuum model for electrodiffusion processes.

Authors:  Benzhuo Lu; J Andrew McCammon
Journal:  Chem Phys Lett       Date:  2008-01-21       Impact factor: 2.328

  9 in total

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