Computational Methods for GPCR Drug Discovery

Alexander Heifetz

ISBN 10: 1493984942 / ISBN 13: 9781493984947

Published by Humana, 2018

About this Item

Computational Methods for GPCR Drug Discovery | Alexander Heifetz | Taschenbuch | xi | Englisch | 2018 | Humana | EAN 9781493984947 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 115376623

Bibliographic Details

• Title: Computational Methods for GPCR Drug Discovery
• Publisher: Humana
• Publication Date: 2018
• Language: English
• ISBN 10: 1493984942
• ISBN 13: 9781493984947
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 25D millimeters 254 millimeters width by 178 millimeters height by 25 millimeters depth
• Weight: 837 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

From the Back Cover

This volume looks at modern computational strategies and techniques used in GPCR drug discovery including structure and ligand-based approaches and cheminformatics. The chapters in this book describe how these approaches can be applied to address key drug discovery issues, such as receptor structure modelling, function and dynamics, prediction of protein-water-ligand interactions and binding kinetics, free energy of binding, interconversion between agonists and antagonists, deorphanization of GPCRs, and the discovery of biased and allosteric modulators. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modelling protocols, and tips on troubleshooting and avoiding known pitfalls.

Cutting-edge and unique,Computational Methods for GPCR Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.