abstract

• In-silico simulation based on Markov chains is a powerful way to describe and predict the activity of many transport proteins including ion channels. However, modeling and simulation using realistic models of voltage- or ligand-gated ion channels exposed to a wide range of experimental conditions require building complex kinetic schemes and solving complicated differential equations. To circumvent these problems, we developed IonChannelLab a software tool that includes a user-friendly Graphical User Interface and a simulation library. This program supports channels with Ohmic or Goldman-Hodgkin-Katz behavior and can simulate the time-course of ionic and gating currents, single channel behavior and steady-state conditions. The program allows the simulation of experiments where voltage, ligand and ionic concentration are varied independently or simultaneously. © 2010 Landes Bioscience.

authors

• Arreola Gómez Jorge
• Covarrubias M.
• De Santiago J.A.
• Pérez Cornejo Gloria Patricia
• Sánchez-Rodríguez J.E.

publication date

• 2010-01-01

funding provided via

• National Institute of Neurological Disorders and Stroke, NINDS: R01NS032337  Grant
• National Institutes of Health, National Institutes of Health  Grant
• New Mexico Legislature, New Mexico Legislature: 105457, 79897  Grant

published in

• Channels  Journal

keywords

• Ion channels; IonChannelLab; Kinetic models; Markov; Simulation; Software carrier protein; ion channel; ligand; article; channel gating; computer interface; computer model; computer program; computer simulation; hidden Markov model; kinetics; mathematical analysis; membrane potential

Digital Object Identifier (DOI)

• 10.4161/chan.4.5.13404

PubMed ID

• 20935453

start page

end page

volume

• 4

issue

• 5