A Study of the Electrical Activity in Cells

Poster Number

21A

Lead Author Major

Computer

Lead Author Status

Sophomore

Format

Poster Presentation

Faculty Mentor Name

Carlos Villalba-Galea

Faculty Mentor Department

School of Pharmacy and Health Sciences

Abstract/Artist Statement

Ion channels are proteins on membranes of cells which control the flow of ions in and out of cells. These proteins transition between different formations, called states, due to changing conditions in the cellular environment, including changes in the electrical potential across the membrane and the binding of ligands. In this project, we are working on simulating the transition of ion channels between states. We have started by using a multiple-state sequential and reversible model that applies to any general chemical reaction, and will subsequently add more parameters to make the simulation specific to ion channel behavior. Using matrices to store the data for the population fraction of states and the rate constants governing change between states, we can use matrix multiplication in MatLab to simulate the behavior of the population with respect to time. The work presented here shows our progress to date on simulating the behavior of ion channel proteins.

Location

DeRosa University Center, Ballroom

Start Date

29-4-2017 1:00 PM

End Date

29-4-2017 3:00 PM

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Apr 29th, 1:00 PM Apr 29th, 3:00 PM

A Study of the Electrical Activity in Cells

DeRosa University Center, Ballroom

Ion channels are proteins on membranes of cells which control the flow of ions in and out of cells. These proteins transition between different formations, called states, due to changing conditions in the cellular environment, including changes in the electrical potential across the membrane and the binding of ligands. In this project, we are working on simulating the transition of ion channels between states. We have started by using a multiple-state sequential and reversible model that applies to any general chemical reaction, and will subsequently add more parameters to make the simulation specific to ion channel behavior. Using matrices to store the data for the population fraction of states and the rate constants governing change between states, we can use matrix multiplication in MatLab to simulate the behavior of the population with respect to time. The work presented here shows our progress to date on simulating the behavior of ion channel proteins.