Kernel representations for flux and concentration in ion channel models with time-varying concentrations
J. Chem. Phys. 125, 164703 (2006); doi:10.1063/1.2363187
Published 24 October 2006
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This paper explores stochastic models for the study of ion transport in biological cells. It considers one-dimensional models with time-varying concentrations at the boundaries. The average concentration and flux in the channel are obtained as kernel representations, where the kernel functions have a probabilistic interpretation which contributes to a better understanding of the models. In particular, the kernel representation is given for the flux at a boundary point, providing a correct version of a representation found in the literature. This requires special attention because one of the kernel functions exhibits a singularity. This kernel representation is feasible due to the linearity of the system that arises from the assumed independence between ions.
©2006 American Institute of Physics
| History: | Received 11 January 2006; accepted 19 September 2006; published 24 October 2006 |
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http://link.aip.org/link/?JCPSA6/125/164703/1 |
REFERENCES (36)
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- B. Eisenberg,
Contemp. Phys. 39, 447 (1998) . - B. Hille, Ionic Channels of Excitable Membranes, 2nd ed. (Sinauer Associates, Sunderland, 1992).
- K. Cooper, E. Jakobsson, and P. Wolynes,
Prog. Biophys. Mol. Biol. 46, 51 (1985) . - S. Chung and S. Kuyucak,
Biochim. Biophys. Acta 1565, 267 (2002) . - D. G. Levitt,
J. Gen. Physiol. 113, 789 (1999) . - R. J. Mashi, J. Schnitzer, and E. Jakobsson,
Biophys. J. 81, 2473 (2001) . - E. Jakobsson, Methods 14, 342 (1998).
- S. Kuyucak, O. S. Andersen, and S. Chung,
Rep. Prog. Phys. 64, 1427 (2001) . - D. L. Ermak and J. A. McCammon, J. Chem. Phys. 69, 1352 (1978).
- W. F. van Gusteren, H. J. C. Berendsen, and J. A. C. Rullmann,
Mol. Phys. 44, 69 (1981) . - W. F. van Gusteren and H. J. C. Berendsen,
Mol. Phys. 45, 637 (1982) . - S. Bek and E. Jakobsson,
Biophys. J. 66, 1028 (1994) . - B. Corry, S. Kuyucak, and S. Chung,
Biophys. J. 78, 2364 (2000) . - D. G. Levitt,
Biophys. J. 37, 575 (1982) . - D. G. Levitt,
Annu. Rev. Biophys. Biophys. Chem. 15, 29 (1986) . - D. G. Levitt,
Biophys. J. 59, 271 (1991) . - R. S. Eisenberg, M. M. Klosek, and Z. Schuss, J. Chem. Phys. 102, 1767 (1995).
- Z. Schuss, B. Nadler, and R. S. Eisenberg, Phys. Rev. E 64, 036116 (2001).
- V. Barcilon, D. Chen, R. Eisenberg, and M. Ratner, J. Chem. Phys. 98, 1193 (1993).
- E. Jakobsson and S. Chiu,
Biophys. J. 52, 33 (1987) . - J. Alvarez, Ph.D. thesis, University of Illinois at Urbana-Champaign, 2004.
- M. F. Schumaker, J. Chem. Phys. 117, 2469 (2002).
- H. J. Kushner, Approximation and Weak Convergence Methods for Random Processes (MIT, Cambridge, MA, 1984).
- S. Karlin and H. M. Taylor, A Second Course in Stochastic Processes (Academic, New York, 1981).
- S. N. Ethier and T. G. Kurtz, Markov Processes: Characterization and Convergence (Wiley, New York, 1986).
- A. M. Berezhkovskii, M. A. Pustovoit, and S. M. Bezrukov, J. Chem. Phys. 116, 9952 (2002).
- A. M. Berezhkovskii, M. A. Pustovoit, and S. M. Bezrukov, J. Chem. Phys. 119, 3943 (2003).
- H. Risken, The Fokker-Planck Equation: Methods of Solution and Applications (Springer-Verlag, New York, 1984).
- J. Alvarez and B. Hajek, Phys. Rev. E73, 046126 (2006).
- B. Hajek, Stochastic Networks Conference, 2004 (unpublished);
- A. Singer and Z. Schuss, Phys. Rev. E 71, 026115 (2005).
- B. Nadler, Z. Schuss, and A. Singer, Phys. Rev. Lett. 94, 218101 (2005).
- E. Barkai, R. Eisenberg, and Z. Schuss, Phys. Rev. E 54, 1161 (1996).
- S. M. Bezrukov, A. M. Berezhkovskii, M. A. Pustovoit, and A. Szabo, J. Chem. Phys. 113, 8206 (2000).
- A. Singer and Z. Schuss, Phys. Rev. Lett. 95, 110601 (2005).
- A. Singer, Z. Schuss, B. Nadler, and R. S. Eisenberg, Phys. Rev. E 70, 061106 (2004).








