Literature DB >> 24291490

Multiscale modelling to understand the self-assembly mechanism of human β2-adrenergic receptor in lipid bilayer.

Anirban Ghosh1, Uddhavesh Sonavane1, Rajendra Joshi2.   

Abstract

The long perceived notion that G-Protein Coupled Receptors (GPCRs) function in monomeric form has recently been changed by the description of a number of GPCRs that are found in oligomeric states. The mechanism of GPCR oligomerization, and its effect on receptor function, is not well understood. In the present study, coarse grained molecular dynamics (CGMD) approach was adopted for studying the self-assembly process of the human GPCR, β2-adrenergic receptor (β2-AR), for which several experimental evidences of the dimerization process and its effect on cellular functions are available. Since the crystal structure of β2-AR lacks the third intracellular loop, initially it was modelled and simulated using restrained MD in order to get a stable starting conformation. This structure was then converted to CG representation and 16 copies of it, inserted into a hydrated lipid bilayer, were simulated for 10 μs using the MARTINI force field. At the end of 10μs, oligomers of β2-AR were found to be formed through the self-assembly mechanism which were further validated through various analyses of the receptors. The lipid bilayer analysis also helped to quantify this assembly mechanism. In order to identify the domains which are responsible for this oligomerization, a reverse transformation of the CG system back to all-atom structure and simulated annealing run were carried out at the end of 10 μs CGMD run. Analysis of the all-atom dimers thus obtained, revealed that TM1/TM1, H8/H8, TM1/TM5 and TM6/TM6 regions formed most of the dimerization surfaces, which is in accordance with some of the experimental observations and recent simulation results.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CGMD; GPCR; MARTINI; Oligomerization; Simulated annealing; β2-AR

Mesh:

Substances:

Year:  2013        PMID: 24291490     DOI: 10.1016/j.compbiolchem.2013.11.002

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  13 in total

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