Computational Modeling of Drugs Against Alzheimer’s Disease
Editors: Roy, Kunal (Ed.)
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- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
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- About this book
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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 learning about the latest computational techniques used to study this disease.
- About the authors
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Dr. Kunal Roy is a Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India. He has been a recipient of Commonwealth Academic Staff Fellowship (University of Manchester, 2007) and Marie Curie International Fellowship (University of Manchester, 2013). The field of his research interest is QSAR and Molecular Modeling with application in Drug Design and Ectoxicological Modeling. Dr. Roy has published more than 250 research papers in refereed journals (current SCOPUS h index 35). He has also coauthored two QSAR related books, edited two QSAR books and published ten book chapters. Dr. Roy serves in different capacities in the Editorial Boards of several International Journals.
- Reviews
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- Table of contents (21 chapters)
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Alzheimer’s Disease Therapy: Present and Future Molecules
Pages 3-22
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Recent Advances in Computational Approaches for Designing Potential Anti-Alzheimer’s Agents
Pages 25-59
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Computer-Aided Drug Design Approaches to Study Key Therapeutic Targets in Alzheimer’s Disease
Pages 61-106
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Virtual Screening in the Search of New and Potent Anti-Alzheimer Agents
Pages 107-137
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Molecular Field Topology Analysis (MFTA) in the Design of Neuroprotective Compounds
Pages 139-159
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Table of contents (21 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computational Modeling of Drugs Against Alzheimer’s Disease
- Editors
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- Kunal Roy
- Series Title
- Neuromethods
- Series Volume
- 132
- Copyright
- 2018
- Publisher
- Humana Press
- Copyright Holder
- Springer Science+Business Media, LLC, part of Springer Nature
- eBook ISBN
- 978-1-4939-7404-7
- DOI
- 10.1007/978-1-4939-7404-7
- Hardcover ISBN
- 978-1-4939-7403-0
- Softcover ISBN
- 978-1-4939-8475-6
- Series ISSN
- 0893-2336
- Edition Number
- 1
- Number of Pages
- XVII, 645
- Number of Illustrations
- 64 b/w illustrations, 158 illustrations in colour
- Topics
