Formation and cooperative behaviour of protein complexes on the cell membrane / Ksenia Guseva.

Format:

Book

Thesis/Dissertation

Author/Creator:

Guseva, Ksenia.

Series:

Springer theses.

Springer theses, 2190-5053

Language:

English

Subjects (All):

Cell membranes.

Physical Description:

1 online resource (88 p.)

Edition:

1st ed. 2012.

Place of Publication:

Berlin : Springer, 2012.

Language Note:

English

Summary:

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.

Contents:

Introduction

The Role of Fragmentation on the Formation of Homomeric Protein Complexes

Collective Response of Self-organised Clusters of Mechanosensitive Channels

Assembly and Fragmentation of Tat Pores

Conclusion.

Notes:

Description based upon print version of record.

"Doctoral thesis accpeted by Institute of Complex Systems and Mathematical Biology of the University of Aberdeen, UK."

Includes bibliographical references.

ISBN:

9786613451835

9781283451833

1283451832

9783642239885

3642239889

OCLC:

756510633