The process underlying the opening and closing of ionic channels in biological or artificial lipid membranes can be modeled kinetically as a time-homogeneous Markov chain. The elements of the chain are kinetic states that can be either open or closed. A maximum likelihood procedure is described for estimating the transition rates between these states from single channel data. The method has been implemented for linear kinetic schemes of fewer than six states, and is suitable for nonstationary data in which one or more independent channels are functioning simultaneously. It also provides standard errors for all estimates of rate constants and permits testing of smoothly parameterized subhypotheses of a general model. We have illustrated our approach by analysis of single channel data simulated on a computer and have described a procedure for analysis of experimental data.
No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong
Qilu Normal University · Genelibs Bioinformatics Lab
750 Shunhua Rd, Jinan
2F, Bldg F, University Science Park
Tel: 0531-88819269
Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.
Business Email
E-mail: product@genelibs.com