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UFN, 2016, Volume 186, Number 2, Pages 125–145 (Mi ufn5427)  

This article is cited in 2 scientific papers (total in 2 papers)

REVIEWS OF TOPICAL PROBLEMS

Energetics and stochastic dynamics of intraneuron transport

Yu. M. Romanovskya, V. P. Trifonenkovb

a Lomonosov Moscow State University, Faculty of Physics
b National Engineering Physics Institute "MEPhI", Moscow

Abstract: Walking molecular motors performing various functions in living cells are reviewed, including kinesin, myosin V, and dynein. These motors ensure the transport of neuromediators in neurons and are therefore crucial for interaction among the hundred billion brain cells. Functional schemes based on these motors are presented, and corresponding mathematical models are constructed as systems of two coupled FitzHugh–Nagumo equations. However, polynomials describing the moments of force are of high order and nearly N-shaped. Model parameters are determined from motor functional schemes that are based on observed data from X-ray structural analysis, cryogenic electron microscopy, laser tweezer measurements, and fast point marker-based videomicroscopy. Basic data on neuron energetics are summarized.

Funding Agency Grant Number
Russian Foundation for Basic Research 13-02-01177А


DOI: https://doi.org/10.3367/UFNr.0186.201602b.0125

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Full text: http://www.ufn.ru/.../c
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English version:
Physics–Uspekhi, 2016, 59:2, 121–140

Bibliographic databases:

PACS: 87.10.-e, 87.16.Nn, 87.19.L-
Received: October 12, 2015
Revised: November 11, 2015
Accepted: November 12, 2015

Citation: Yu. M. Romanovsky, V. P. Trifonenkov, “Energetics and stochastic dynamics of intraneuron transport”, UFN, 186:2 (2016), 125–145; Phys. Usp., 59:2 (2016), 121–140

Citation in format AMSBIB
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    This publication is cited in the following articles:
    1. R. Cai, X. Chen, J. Duan, J. Kurths, X. Li, “Levy Noise-Induced Escape in An Excitable System”, J. Stat. Mech.-Theory Exp., 2017, 063503  crossref  mathscinet  isi  scopus
    2. V. M. Rozenbaum, I. V. Shapochkina, L. I. Trakhtenberg, “Green's function method in the theory of Brownian motors”, Phys. Usp., 62:5 (2019), 496–509  mathnet  crossref  crossref  adsnasa  isi  elib
  • Успехи физических наук Physics-Uspekhi
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