Title page for ETD etd-08222011-142124

Type of Document Dissertation
Author Creasy, Miles Austin
Author's Email Address mcreasy@vt.edu
URN etd-08222011-142124
Title Bilayer Network Modeling
Degree PhD
Department Mechanical Engineering
Advisory Committee
Advisor Name Title
Leo, Donald J. Committee Chair
De Vita, Raffaella Committee Member
Inman, Daniel J. Committee Member
Paul, Mark R. Committee Member
Philen, Michael K. Committee Member
  • lipid bilayer
  • bilayer network
  • probabilistic model
  • alamethicin
  • droplet interface bilayer
Date of Defense 2011-08-08
Availability unrestricted
This dissertation presents the development of a modeling scheme that is developed to model the membrane potentials and ion currents through a bilayer network system. The modeling platform builds off of work performed by Hodgkin and Huxley in modeling cell membrane potentials and ion currents with electrical circuits. This modeling platform is built specifically for cell mimics where individual aqueous volumes are separated by single bilayers like the droplet-interface-bilayer. Applied potentials in one of the aqueous volumes will propagate through the system creating membrane potentials across the bilayers of the system and ion currents through the membranes when proteins are incorporated to form pores or channels within the bilayers. The model design allows the system to be divided into individual nodes of single bilayers. The conductance properties of the proteins embedded within these bilayers are modeled and a finite element analysis scheme is used to form the system equations for all of the nodes. The system equation can be solved for the membrane potentials through the network and then solve for the ion currents through individual membranes in the system.

A major part of this work is modeling the conductance of the proteins embedded within the bilayers. Some proteins embedded in bilayers open pores and channels through the bilayer in response to specific stimuli and allow ion currents to flow from one aqueous volume to an adjacent volume. Modeling examples of the conductance behavior of specific proteins are presented. The examples demonstrate aggregate conductance behavior of multiple embedded proteins in a single bilayer, and at examples where few proteins are embedded in the bilayer and the conductance comes from a single-channel or pore. The effect of ion gradients on the single

channel conductance example is explored and those effects are included in the single-channel conductance model. Ultimately these conductance models are used with the system model to predict ion currents through a bilayer or through part of a bilayer network system. These modeling efforts provide a modeling tool that will assist engineers in designing bilayer network systems.

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