Overview
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Part of the book series: Neuromethods (NM, volume 132)
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About this book
This volume describes different computational methods encompassing ligand-based approaches (QSAR, pharmcophore), structure-based approaches (homology modeling, docking, molecular dynamics simulation), and combined approaches (virtual screening) with applications in anti-Alzheimer drug design. Different background topics like molecular etiologies of Alzheimer’s disease, targets for new drug development, and different cheminformatic modeling strategies are covered for completeness. Special topics like multi-target drug development, natural products, protein misfolding, and nanomaterials are also included in connection with computational modeling of anti-Alzheimer drug development. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.
Cutting-edge and authoritative, Computational Modeling of Drugs Against Alzheimer’s Disease is a valuable resource for learningabout the latest computational techniques used to study this disease.
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Keywords
Table of contents (21 protocols)
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An Introduction to the Disease
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Computational Modeling Methods for Anti-Alzheimer Agents
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Modeling of Ligands Acting Against Specific Anti-Alzheimer Drug Targets
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Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Computational Modeling of Drugs Against Alzheimer’s Disease
Editors: Kunal Roy
Series Title: Neuromethods
DOI: https://doi.org/10.1007/978-1-4939-7404-7
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2018
Hardcover ISBN: 978-1-4939-7403-0Published: 29 September 2017
Softcover ISBN: 978-1-4939-8475-6Published: 10 August 2018
eBook ISBN: 978-1-4939-7404-7Published: 27 September 2017
Series ISSN: 0893-2336
Series E-ISSN: 1940-6045
Edition Number: 1
Number of Pages: XVII, 645
Number of Illustrations: 64 b/w illustrations, 158 illustrations in colour
Topics: Neurosciences