Formation and Cooperative Behaviour of Protein Complexes on the Cell Membrane (Paperback, 2012 ed.)

With the aim of providing a deeper insight into possible mechanisms of biological self-organization, this thesis presents new approaches to describe the process of self-assembly and the impact of spatial organization on the function of membrane proteins, from a statistical physics point of view. It focuses on three important scenarios: the assembly of membrane proteins, the collective response of mechanosensitive channels and the function of the twin arginine translocation (Tat) system. Using methods from equilibrium and non-equilibrium statistical mechanics, general conclusions were drawn that demonstrate the importance of the protein-protein interactions. Namely, in the first part a general aggregation dynamics model is formulated, and used to show that fragmentation crucially affects the efficiency of the self-assembly process of proteins. In the second part, by mapping the membrane-mediated forces into a simplified many-body system, the dynamic and equilibrium behaviour of interacting mechanosensitive channels is derived, showing that protein agglomeration strongly impacts its desired function. The final part develops a model that incorporates both the agglomeration and transport function of the Tat system, thereby providing a comprehensive description of this self-organizing process.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Theses
Release date:	November 2013
First published:	2012
Authors:	Ksenia Guseva
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	80
Edition:	2012 ed.
ISBN-13:	978-3-642-26994-3
Categories:	Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Science & Mathematics > Chemistry > Organic chemistry > Polymer chemistry Books > Science & Mathematics > Biology, life sciences > Cellular biology > General
LSN:	3-642-26994-X
Barcode:	9783642269943

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