Overview
- Practical introduction into GPCR modeling
- Reference to appropriate software, html-pages, databases
- Appendix with most important data, essential for GPCR modelling
- Short introduction into LINUX commands, which might be important for efficient modelling with examples
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About this book
G protein coupled receptors (GPCRs) comprise an important protein family, which is involved in signal transduction in the cell. Besides that a large number of drugs, available on market, address GPCRs. For an efficient and improved development of appropriate drugs, molecular modelling of GPCRs is – in order to understand the ligand-receptor interactions and functionality of GPCRs on molecular level - an important tool. The book “Modelling of GPCRs – a practical handbook” is focussed onto a practical introduction into molecular modelling of GPCRs. This book is very useful for beginners in GPCR modelling, but also addresses the advanced GPCR modeller: On the one hand, the book introduces principles of GPCR modelling, including extensive examples. On the other hand, detailed outlooks onto advanced GPCR modelling techniques are presented. Furthermore, the book includes important data, like information about crystal structures in a summarized manner or amino acid sequences, which are essential for GPCR modelling in general. Due to an increase in efficacy and data handling most modellers use LINUX as operating system. To address this, a summary of most important LINUX commands with examples is presented within the book.
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Modelling of GPCRs
Book Subtitle: A Practical Handbook
Authors: Andrea Strasser, Hans-Joachim Wittmann
DOI: https://doi.org/10.1007/978-94-007-4596-4
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2013
Hardcover ISBN: 978-94-007-4595-7Published: 14 August 2012
Softcover ISBN: 978-94-017-8091-9Published: 21 September 2014
eBook ISBN: 978-94-007-4596-4Published: 13 August 2012
Edition Number: 1
Number of Pages: X, 218
Topics: Biomedicine general, Computational Biology/Bioinformatics, Computer Appl. in Life Sciences, Bioinformatics, Simulation and Modeling, Medicinal Chemistry