Estimating kinetic constants from single channel data. Export

@article{Horn1983_Markov_kinetics, abstract = {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.}, author = {Horn, R. and Lange, K.}, citeulike-article-id = {1097894}, citeulike-linkout-0 = {http://www.biophysj.org/cgi/content/abstract/43/2/207}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/6311301}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=6311301}, comment = {Section on solving continuous time Markov chains in discrete time}, day = {1}, journal = {Biophys. J.}, keywords = {kinetics, markov, theory}, month = {August}, number = {2}, pages = {207--223}, posted-at = {2007-02-10 08:34:00}, priority = {4}, title = {Estimating kinetic constants from single channel data.}, url = {http://www.biophysj.org/cgi/content/abstract/43/2/207}, volume = {43}, year = {1983} }

TY - JOUR ID - Horn1983_Markov_kinetics L3 - citeulike-article-id:1097894 N2 - 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. IS - 2 JF - Biophys. J. EP - 223 TI - Estimating kinetic constants from single channel data. VL - 43 SP - 207 KW - kinetics KW - markov KW - theory N1 - Section on solving continuous time Markov chains in discrete time AU - Horn, R AU - Lange, K PY - 1983/08/01/ UR - http://www.biophysj.org/cgi/content/abstract/43/2/207 ER -