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An investigation of models of the channel in Xenopus oocyte
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10.1063/1.3156402
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Affiliations:
1 Department of Physics and Institute of Theoretical Physics and Astrophysics, Xiamen University, Xiamen 361005, China
2 Applied Theoretical and Computational Physics, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
3 Institute of Physics, Humboldt University Berlin, Newtonstr. 15, 12489 Berlin, Germany
a) Telephone: (86) 592-218 2575. Electronic mail: jianweishuai@xmu.edu.cn.
Chaos 19, 037105 (2009)
/content/aip/journal/chaos/19/3/10.1063/1.3156402
http://aip.metastore.ingenta.com/content/aip/journal/chaos/19/3/10.1063/1.3156402

## Figures

FIG. 1.

Model 1: (a) The structure of the De Young–Keizer subunit model. The graph shows the dependence of (b) the open probability , (c) the mean open time , and (d) the mean close time as a function of concentration for different concentrations of . The lines show the results calculated with the deterministic transition matrix theory and the symbols show the results obtained from single-channel patch clamp from on native nuclear membranes (Refs. ). Here, thick lines and stars are for , thin lines and circles are for , dashed lines and squares are for , and dotted lines and triangles are for . Same notations are used in the following figures. The parameters used in the model are , , , , , , , and .

FIG. 2.

Model 2: (a) The subunit structure of the channel model, (b) the open probability , (c) the mean open time , and (d) the mean close time . In the model , , , , , , , and .

FIG. 3.

Model 3: (a) The subunit structure of the channel model. A conformational transition to an active state (state- ) occurs before the subunit can contribute to channel opening. (b) The open probability , (c) the mean open time , and (d) the mean close time . In the model , , , , and . For the conformational change, and .

FIG. 4.

Model 4: (a) The subunit structure of the channel model, (b) the open probability , (c) the mean open time , and (d) the mean close time . In the model , , , , , and with .

FIG. 5.

Model 5: (a) The subunit structure of the channel model, (b) the open probability , (c) the mean open time , and (d) the mean close time . In the model , , , , , and with .

FIG. 6.

Model 6: (a) The state structure of the sequential binding model, (b) the open probability , (c) the mean open time , and (d) the mean close time . In (c), the mean open time is independent of concentration. In the model , , , , , , , and .

FIG. 7.

Model 7: (a) The state structure of the sequential binding model, (b) the open probability , (c) the mean open time , and (d) the mean close time . In the model , , , , , and with .

FIG. 8.

Model 8: (a) The state structure of the sequential binding model, (b) the open probability , and (c) the mean close time . The inset figure in (c) is the plot of the mean open time . In the model , , , , , and with .

## Tables

Table I.

The mismatch value for fitting of the eight models. Here the value has been rescaled by the averaged open probability of the channel for the experimental data.

/content/aip/journal/chaos/19/3/10.1063/1.3156402
2009-09-18
2014-04-19

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