Domene Computational Biophysics of Membrane Proteins

1. Auflage 2016
ISBN: 978-1-78262-669-5
Verlag: Royal Society of Chemistry
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band Volume 10, 264 Seiten

Reihe: Theoretical and Computational Chemistry Series

Exploring current themes in modern computational and membrane protein biophysics, this book presents a comprehensive account of the fundamental principles underlying different methods and techniques used to describe the intriguing mechanisms by which membrane proteins function. The book discusses the experimental approaches employed to study these proteins, with chapters reviewing recent crucial structural advances that have allowed computational biophysicists to discern how these molecular machines work. The book then explores what computational methods are available to researchers and what these have taught us about three key families of membrane proteins: ion channels, transporters and receptors. The book is ideal for researchers in computational chemistry and computational biophysics.

Autoren/Hrsg.

Domene, Carmen

Fachgebiete

• Naturwissenschaften Physik Angewandte Physik Biophysik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
• Naturwissenschaften Chemie Physikalische Chemie
• Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik
• Naturwissenschaften Biowissenschaften Proteinforschung

Inhaltsverzeichnis

Introduction to the Structural Biology of Membrane Proteins;

Molecular Dynamics Simulations: Principles and Applications for the Study of Membrane Proteins;

Free Energy Calculations for Understanding Membrane Receptors;

Non-atomistic Simulations of Ion Channels;

Experimental and Computational Approaches to Study Membranes and Lipid-Protein Interactions;

Computer Simulation of Ion Channels;

Computational Characterization of Molecular Mechanisms of Membrane Transporter Function;

Computational Studies of Receptors

Über Autor(innen)

Carmen Domene is a Reader in Computational Chemistry at King’s College London, UK. Her research group applies principles from quantum mechanics and statistical thermodynamics to model biomolecular phenomena with computer simulations.