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A Quasi Random Walk to Model a Biological Transport Process

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Abstract

Transport molecules play a crucial role for cell viability. Amongst others, linear motors transport cargos along rope-like structures from one location of the cell to another in a stochastic fashion. Thereby each step of the motor, either forwards or backwards, bridges a fixed distance and requires several biochemical transformations, which are modeled as internal states of the motor. While moving along the rope, the motor can also detach and the walk is interrupted. We give here a mathematical formalization of such dynamics as a random process which is an extension of Random Walks, to which we add an absorbing state to model the detachment of the motor from the rope. We derive particular properties of such processes that have not been available before. Our results include description of the maximal distance reached from the starting point and the position from which detachment takes place. Finally, we apply our theoretical results to a concrete established model of the transport molecule Kinesin V.

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References

  • Carter NJ, Cross RA (2005) Mechanics of the kinesin step. Nature 435:308–312

    Article  Google Scholar 

  • Hollander FD, Olivieri E, Scoppola E (2000) Metastability and nucleation for conservative dynamics. J Math Phys 41(3):1424–1498

    Article  MATH  MathSciNet  Google Scholar 

  • Kemeny JG, Snell JL (1976) Finite Markov Chains - Reprint. Undergraduate Texts in Mathematics. Springer

  • Liepelt S, Lipowsky R (2007a) Kinesin’s network of chemomechanical motor cycles. Phys Rev Lett 98:258102-1–258102-4

    Article  Google Scholar 

  • Liepelt S, Lipowsky R (2007b) Steady-state balance conditions for molecular motor cycles and stochastic nonequilibrium processes. Epl 77:50002-p1–50002-p5

    Article  Google Scholar 

  • Lipowsky R, Liepelt S (2008) Chemomechanical coupling of molecular motors: thermodynamics, network representations, and balance conditions. J Stat Phys 130:39–67. doi:10.1007/s10955-007-9425-7

    Article  MATH  MathSciNet  Google Scholar 

  • Lipowsky R, Liepelt S, Valleriani A (2009) Energy conversion by molecular motors coupled to nucleotide hydrolysis. J Stat Phys 135(5–6):951–975

    Article  MATH  Google Scholar 

  • Neuts MF (1994) Matrix geometric solutions in stochastic models. Dover, New York

    Google Scholar 

  • Schief WR, Clark RH, Crevenna AH, Howard J (2004) Inhibition of kinesin motility by ADP and phosphate supports a hand-over-hand mechanism. Proc Natl Acad Sci USA 101:1183–1188

    Article  Google Scholar 

  • Schnitzer MJ, Visscher K, Block SM (2000) Force production by single kinesin motors. Nat Cell Biol 2:718–723

    Article  Google Scholar 

  • Seneta E (2006) Non-negative Matrices and Markov Chains. Springer Series in Statistics, 2nd edn. Springer

  • Valleriani A, Liepelt S, Lipowsky R (2008) Dwell time distributions for kinesin’s mechanical steps. EPL (Europhys Lett) 82(2):28011–p1–28011–p6

    Article  Google Scholar 

  • Van Doorn EA, Zeifman AI (2005) Birth-death processes with killing. Stat Probab Lett 72:33–42

    Article  MATH  Google Scholar 

  • Visscher K, Schnitzer MJ, Block SM (1999) Single kinesin molecules studied with a molecular force clamp. Nature 400:184–189

    Article  Google Scholar 

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Correspondence to Peter Keller.

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Keller, P., Rœlly, S. & Valleriani, A. A Quasi Random Walk to Model a Biological Transport Process. Methodol Comput Appl Probab 17, 125–137 (2015). https://doi.org/10.1007/s11009-013-9372-5

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  • DOI: https://doi.org/10.1007/s11009-013-9372-5

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