MARKOV CHAIN INVERSION APPROACH TO IDENTIFY THE TRANSITION RATES OF ION CHANNELS

被引:0
作者
向绪言 [1 ]
邓迎春 [2 ]
杨向群 [2 ]
机构
[1] College of Mathematics,Hunan University of Arts and Science
[2] College of Mathematics and Computer Science,Hunan Normal University
关键词
Markov chain; transition rate; inversion; lifetime distribution;
D O I
暂无
中图分类号
Q25 [细胞生理学]; O211.62 [马尔可夫过程];
学科分类号
071009 ; 090102 ; 020208 ; 070103 ; 0714 ;
摘要
We consider how to identify the transition rates of ion channels with the underlying scheme which is kinetically modelled as time-homogeneous Markov chain.A Markov chain inversion approach is developed to perform a difficult inversion to identify the transition rates from the parameters characterizing the lifetime distributions at a small number of states,although it is straightforward to derive the lifetime distribution.The general explicit equations relating the parameters of the lifetime distribution to the transition rates are derived and transition rates are then obtained as roots to this system of equations.The concrete solutions are proposed to the basic and regular schemes such as linear,star-graph branch and loop.Useful conclusions and solutions to realistic schemes are also included to show its efficiency.
引用
收藏
页码:1703 / 1718
页数:16
相关论文
共 15 条
[1]  
THE DECOMPOSITION OF STATE SPACE FOR MARKOV CHAIN IN RANDOM ENVIRONMENT[J]. 胡迪鹤.Acta Mathematica Scientia. 2005(03)
[2]  
THE CLASSIFICATION AND PERIOD OF STATES FOR MARKOV CHAIN IN RANDOM ENVIRONMENT[J]. 胡迪鹤.Acta Mathematica Scientia. 2005(01)
[3]  
On Markov chains in space-time random environments[J] . Hu Dihe,Hu Xiaoyu.Acta Mathematica Scientia . 2009 (1)
[4]  
How Does Voltage Open an Ion Channel?[J] . Francesco Tombola,Medha M. Pathak,Ehud Y. Isacoff.Annual Review of Cell and Developmental Biology . 2006
[5]   Maximum likelihood estimation of ion channel kinetics from macroscopic currents [J].
Milescu, LS ;
Akk, G ;
Sachs, F .
BIOPHYSICAL JOURNAL, 2005, 88 (04) :2494-2515
[6]   Estimating rate constants from single ion channel currents when the initial distribution is known [J].
The, YK ;
Fernandez, J ;
Popa, MO ;
Lerche, H ;
Timmer, J .
EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2005, 34 (04) :306-313
[7]  
Use of the Covariance Matrix in Directly Fitting Kinetic Parameters: Application to GABA A Receptors[J] . James J. Celentano,Alan G. Hawkes.Biophysical Journal . 2004 (1)
[8]   Multivariate semi-Markov analysis of burst properties of multiconductance single ion channels [J].
Ball, F ;
Milne, RK ;
Yeo, GF .
JOURNAL OF APPLIED PROBABILITY, 2002, 39 (01) :179-196
[9]   Two-dimensional kinetic analysis suggests nonsequential gating of mechanosensitive channels in Xenopus oocytes [J].
Gil, Z ;
Magleby, KL ;
Silberberg, SD .
BIOPHYSICAL JOURNAL, 2001, 81 (04) :2082-2099
[10]   A canonical representation for aggregated Markov processes [J].
Larget, B .
JOURNAL OF APPLIED PROBABILITY, 1998, 35 (02) :313-324