Formation and Cooperative Behaviour of Protein Complexes on the Cell Membrane [E-Book] / by Ksenia Guseva.
Guseva, Ksenia, (author)
1st ed. 2012.
Berlin, Heidelberg : Springer, 2012
XII, 80 pages (online resource)
englisch
9783642239885
10.1007/978-3-642-23988-5
Springer Theses, Recognizing Outstanding Ph.D. Research
Full Text
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250 |a 1st ed. 2012. 
264 1 |a Berlin, Heidelberg :  |b Springer,  |c 2012  |e (Springer LINK)  |f SpringerPhysicsAstronomy20190708 
300 |a XII, 80 pages (online resource) 
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490 |a Springer Theses, Recognizing Outstanding Ph.D. Research 
500 |a englisch 
505 0 |a 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. 
520 |a 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. 
650 0 |a Cell membranes. 
650 0 |a Polymers. 
650 0 |a Statistical physics. 
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