G Protein-coupled receptors-- Modeling and simulation /
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Imprint: | Dordrecht : Springer, ©2014. |
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Description: | 1 online resource (228 pages). |
Language: | English |
Series: | Advances in Experimental Medicine and Biology, 0065-2598 796 Advances in experimental medicine and biology ; v. 796. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11081653 |
Table of Contents:
- Part I: Progress in Structural Modeling of GPCRs
- The GPCR Crystallography Boom: Providing an Invaluable Source of Structural Information and Expanding the Scope of Homology Modeling / Stefano Costanzi and Keyun Wang
- Modeling of G Protein-Coupled Receptors Using Crystal Structures: From Monomers to Signaling Complexes / Angel Gonzalez, Arnau Cordomí, Minos Matsoukas, Julian Zachmann and Leonardo Pardo
- Part II: GPCRs in Motion: Insights from Simulations
- Structure and Dynamics of G-Protein Coupled Receptors / Nagarajan Vaidehi, Supriyo Bhattacharya and Adrien B. Larsen
- How the Dynamic Properties and Functional Mechanisms of GPCRs Are Modulated by Their Coupling to the Membrane Environment / Sayan Mondal, George Khelashvili, Niklaus Johner and Harel Weinstein
- Coarse-Grained Molecular Dynamics Provides Insight into the Interactions of Lipids and Cholesterol with Rhodopsin / Joshua N. Horn, Ta-Chun Kao and Alan Grossfield
- Beyond Standard Molecular Dynamics: Investigating the Molecular Mechanisms of G Protein-Coupled Receptors with Enhanced Molecular Dynamics Methods / Jennifer M. Johnston and Marta Filizola
- Part III: GPCR-Focused Rational Design and Mathematical Modeling
- From Three-Dimensional GPCR Structure to Rational Ligand Discovery / Albert J. Kooistra, Rob Leurs, Iwan J.P. de Esch and Chris de Graaf
- Mathematical Modeling of G Protein-Coupled Receptor Function: What Can We Learn from Empirical and Mechanistic Models? / David Roche, Debora Gil and Jesús Giraldo
- Part IV: Bioinformatics Tools and Resources for GPCRs
- GPCR & Company: Databases and Servers for GPCRs and Interacting Partners / Noga Kowalsman and Masha Y. Niv
- Bioinformatics Tools for Predicting GPCR Gene Functions / Makiko Suwa.