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Membrane Protein Structure and Dynamics

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Cover of 'Membrane Protein Structure and Dynamics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Crystallization of Membrane Proteins in Bicelles
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    Chapter 2 Vapor Diffusion-Controlled Meso Crystallization of Membrane Proteins
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    Chapter 3 Solution NMR Studies of Integral Polytopic α-Helical Membrane Proteins: The Structure Determination of the Seven-Helix Transmembrane Receptor Sensory Rhodopsin II, pSRII.
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    Chapter 4 Use of NMR Saturation Transfer Difference Spectroscopy to Study Ligand Binding to Membrane Proteins
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    Chapter 5 How to Investigate Interactions Between Membrane Proteins and Ligands by Solid-State NMR
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    Chapter 6 Identifying and Measuring Transmembrane Helix-Helix Interactions by FRET.
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    Chapter 7 Studying Substrate Binding to Reconstituted Secondary Transporters by Attenuated Total Reflection Infrared Difference Spectroscopy
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    Chapter 8 UV–Visible and Infrared Methods for Investigating Lipid–Rhodopsin Membrane Interactions
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    Chapter 9 Proteomic Characterization of Integral Membrane Proteins Using Thermostatted Liquid Chromatography Coupled with Tandem Mass Spectrometry
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    Chapter 10 LITiCon: A Discrete Conformational Sampling Computational Method for Mapping Various Functionally Selective Conformational States of Transmembrane Helical Proteins
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    Chapter 11 Homology Model-Assisted Elucidation of Binding Sites in GPCRs
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    Chapter 12 Comparative Modeling of Lipid Receptors
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    Chapter 13 Quantification of Structural Distortions in the Transmembrane Helices of GPCRs
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    Chapter 14 Structure Prediction of G Protein-Coupled Receptors and Their Ensemble of Functionally Important Conformations
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    Chapter 15 Target Based Virtual Screening by Docking into Automatically Generated GPCR Models
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    Chapter 16 Predicting the Biological Activities Through QSAR Analysis and Docking-Based Scoring
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    Chapter 17 Identification of Motions in Membrane Proteins by Elastic Network Models and Their Experimental Validation
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    Chapter 18 Modeling the Structural Communication in Supramolecular Complexes Involving GPCRs.
  20. Altmetric Badge
    Chapter 19 Exploring Substrate Diffusion in Channels Using Biased Molecular Dynamics Simulations
Attention for Chapter 18: Modeling the Structural Communication in Supramolecular Complexes Involving GPCRs.
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Chapter title
Modeling the Structural Communication in Supramolecular Complexes Involving GPCRs.
Chapter number 18
Book title
Membrane Protein Structure and Dynamics
Published in
Methods in molecular biology, September 2012
DOI 10.1007/978-1-62703-023-6_18
Pubmed ID
Book ISBNs
978-1-62703-022-9, 978-1-62703-023-6
Authors

Fanelli F, Francesca Fanelli

Abstract

This article describes a computational strategy aimed at studying the structural communication in G-Protein Coupled Receptors (GPCRs) and G proteins. The strategy relies on comparative Molecular Dynamics (MD) simulations and analyses of wild-type (i.e., reference state) vs. mutated (i.e., perturbed state), or free (i.e., reference state) vs. bound (i.e., perturbed state) forms of a GPCR or a G protein. Bound forms of a GPCR include complexes with small ligands and/or receptor dimers/oligomers, whereas bound forms of heterotrimeric GDP-bound G proteins concern the complex with a GPCR. The computational strategy includes structure prediction of a receptor monomer (in the absence of high-resolution structure), a receptor dimer/oligomer, and a receptor-G protein complex, which constitute the inputs of MD simulations. Finally, the analyses of the MD trajectories are instrumental in inferring the structural/dynamics differences between reference and perturbed states of a GPCR or a G protein. In this respect, focus will be put on the analysis of protein structure networks and communication paths.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Master 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Chemistry 1 33%
Engineering 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2013.
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#20,178,948
of 22,693,205 outputs
Outputs from Methods in molecular biology
#9,829
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Outputs of similar age
#135,242
of 152,063 outputs
Outputs of similar age from Methods in molecular biology
#54
of 70 outputs
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