北京生物醫(yī)學(xué)工程

用于離子通道Markov模型參數(shù)優(yōu)化的進(jìn)化策略方法

Evolutionary strategy for parameter optimization in Markov model for ion channel

作者：肖峰丁明躍丁久平尉遲明

單位：                      華中科技大學(xué)生命科學(xué)與技術(shù)學(xué)院(武漢430074)        

關(guān)鍵詞：離子通道；Markov 模型；進(jìn)化策略

分類號：

出版年·卷·期（頁碼）：2014·33·2（117-124）

摘要：

目的針對離子通道Markov建模過程中參數(shù)的數(shù)量較多、通常很難確定等問題，提出一個以細(xì)胞電生理知識為基礎(chǔ)用于離子通道Markov建模的進(jìn)化算法。方法首先，從大量的電壓-電流的數(shù)據(jù)選取若干具有代表性的曲線組合用于建模。然后，從選定的曲線選出若干能夠反映曲線變化的特征點用以構(gòu)建進(jìn)化策略方法的適應(yīng)度函數(shù)。最后，設(shè)計具體的遺傳算子并進(jìn)行模型參數(shù)優(yōu)化。結(jié)果對采集自實際細(xì)胞的離子通道數(shù)據(jù)進(jìn)行了建模及優(yōu)化，得到的模型對實際數(shù)據(jù)擬合誤差很小。結(jié)論通過分析離子通道Markov模型及數(shù)據(jù)，設(shè)計了一套以進(jìn)化算法為基礎(chǔ)的建模優(yōu)化方法，建立的模型能很好地說明通道的電生理特性。

Objective There are too many parameters in Markov modeling for ion channel.This paper proposes an evolutionary algorithm(EA) method based on cell electrophysiological knowledge to solve the problem.Methods Firstly,certain typical voltage-current curves were selected from a large number of voltage-current data as the training curves of the evolutionary strategy(ES).Then,feature information was extracted from the selected curves.Finally,the genetic operators of the ES were designed to optimize the model parameters.Results The data collected from the real experiments were modeled and optimized,and the model could fit the real data very well.Conclusions A modeling and optimization method is designed based on evolutionary algorithm with the analysis on Markov model and data of ion channel.The model can reflect ion channel’s electrophysiological characteristics exactly.

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