G Protein-Coupled Receptors - Modeling and Simulation

G protein-coupled receptors (GPCRs) are heptahelical transmembrane receptors that convert extra-cellular stimuli into intra-cellular signaling, and ultimately into biological responses. Since GPCRs are natural targets for approximately 40% of all modern medicines, it is not surprising that they have...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Filizola, Marta (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2014.
Σειρά:Advances in Experimental Medicine and Biology, 796
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preface. Section 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
  • Modeling of G Protein-Coupled Receptors Using Crystal Structures: From Monomers to Signaling Complexes. Section II. GPCRs in Motion: Insights from Simulations
  • Structure and Dynamics of G Protein-Coupled Receptors
  • How the Dynamic Properties and Functional Mechanisms of GPCRs are Modulated by their Coupling to the Membrane Environment
  • Coarse-Grained Molecular Dynamics Provides Insight into the Interactions of Lipids and Cholesterol with Rhodopsin
  • Beyond Standard Molecular Dynamics: Investigating the Molecular Mechanisms of G Protein-Coupled Receptors with Enhanced Molecular Dynamics Methods. Section III. GPCR-Focused Rational Design and Mathematical Modeling
  • From Three-Dimensional GPCR Structure to Rational Ligand Discovery
  • Mathematical Modeling Of G Protein-Coupled Receptor Function: What Can We Learn From Empirical And Mechanistic Models? Section IV. Bioinformatics Tools and Resources for GPCRs
  • GPCRs & Company: Databases and Servers for GPCRs and Interacting Partners
  • Bioinformatics Tools for Predicting GPCR Gene Functions. Index.