doi:

DOI: 10.3724/SP.J.1260.2013.30143

Aata Biophysica Sinica (生物物理学报) 2013/29:12 PP.937-948

Parameter Distributions of Inositol 1,4,5-Trisphosphate Receptor Channel Model with the Immune Algorithm


Abstract:
The inositol 1,4,5-trisphosphate receptor (IP3R), which is a Ca2+-release channel in the endoplasmic reticulum, plays an important role in cellular signaling system. In recent years, several IP3R models have been proposed to fit the stationary data of patch clamp recordings. The De Young-Keizer model is one of the most widely applied IP3R models. With the rapid development of artificial immune system, the artificial immune algorithms have been widely applied to multi-objective optimization problems. In this paper, the authors applied the immune algorithm to fit the parameters in De Young-Keizer model according to the nuclear membrane experimental data of open probability, mean open time and mean closing time of the Xenopus oocyte and Spodoptera frugiperda Sf9 cells. By comparing the fitting parameter distributions of the two types of channels, it is indicated that the differences in the IP3R channel dynamics between the two types of cells are originated from the dynamic differences in the IP3 binding site when inhibitory Ca2+ is bonded and the inhibitory Ca2+ binding site when IP3 is bonded.

Key words:Calcium signal,IP3R channel,Immune algorithm

ReleaseDate:2015-04-19 19:20:51



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