Previous Page  102 / 161 Next Page
Information
Show Menu
Previous Page 102 / 161 Next Page
Page Background

Conformational Ensembles from Experimental Data

and Computer Simulations

Poster Abstracts

98 

63-POS

Board 23

Lukasz Mioduszewski

, Marek Cieplak.

Polish Academy of Sciences, Warsaw, Poland.

Gluten proteins do not seem to have one clearly defined tertiary structure, and can form

covalently and non-covalently joined megadalton-sized complexes. They form a

mechanochemical network, responsible for the viscoelastic properties of wheat dough. The

properties can be characterized by the dynamic Young modulus G* = G' + G′′, which describes

the response to small-amplitude oscillating deformation: G′ for the in-phase (elastic) part and G′′

for the out-of-phase (viscous) part. The main goal of this work is to present a model that can

recreate this elastic response of gluten in computer simulations. The existing theories of gluten

elasticity point out the crucial role of hydrogen and disulfide bonds between different gluten

protein chains. The theories provide some predictions that can be incorporated into a simple

coarse-grained model of gluten. In the model amino acids are represented as pseudoatoms,

connected harmonically to form protein chains. Non-bonded interactions include Lenard-Jones

potential, which mimics hydrogen bonding, and a dynamic potential for disulfide bonds. Initial

chain conformations are generated randomly, and then evolve according to the simplified

potential, forming large complexes. The results were obtained by periodically deforming the box

containing gluten proteins and recording the response force. The amplitude of the response force

seems to increase, indicating strain hardening, an effect observed in experiments. It is

accompanied by changes in the protein network structure: the number of inter-chain hydrogen

and disulfide bonds increases. The connection between those conformational changes and system

response to deformation is discussed, as well as the ability of simple models to predict properties

of large complexes of disordered proteins.