Modeling of Biomolecular Systems Interactions, Dynamics, and Allostery: Bridging Experiments and Computations - September 10-14, 2014, Istanbul, Turkey - page 67

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Modeling of Biomolecular Systems Interactions, Dynamics, and Allostery Poster Session I
7-POS
Board 7
A Theoretical Study of the Coupling between Chemical Equilibrium and Physical
Interactions that Determine Self-Organization in End-Grafted Polyelectrolytes for Tissue-
Material Applications
Ebtisam Aldaais
1,2
, Mark J. Uline
1
.
1
University of South Carolina, West Columbia, SC, USA,
2
University of Dammam, Dammam,
Eastern, Saudi Arabia.
A variety of interactions between implanted materials and local tissues impact clinical outcomes
in terms of both therapeutic action and biological response. Tissue-material adhesion is a specific
mode of interaction that is the therapeutic basis for many clinical material applications.
Understanding the competition of interactions in highly inhomogeneous environments such as
those relevant in tissue engineering, nanotechnology, and those responsible for biological cell
function is critical to the further development of design platforms for such systems. We use a
three dimensional mean-field theory to study the competition between electrostatic, van der
Waals and steric interactions in determining the molecular organization of end-grafted polyacids.
The polyelectrolyte layers spontaneously form self-assembled aggregates whose morphologies
are manipulated by the composition of the solution in contact with the film. These theoretical
calculations show that chemical equilibrium and the relevant physical interactions present in
responsive polymer layers couple in a highly non-additive manner.
We find that charge regulation stabilizes micellar domains over a wide range of pH by reducing
the local charge in the aggregate at the cost of chemical free energy and gaining in the van der
Waals attractive interactions. The balance of interactions in this highly inhomogeneous
environment determines the boundaries between different aggregate morphologies. We predict
the formation of domains based on the proper choice of solution pH and salt concentration, and
one can use these predictions to provide design guidelines for the creation of responsive polymer
layers presenting self-organized patterns with the desired functional properties.
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