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Computational Modeling of Drugs Against Alzheimer’s Disease

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Cover of 'Computational Modeling of Drugs Against Alzheimer’s Disease'

Table of Contents

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    Book Overview
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    Chapter 1 Alzheimer’s Disease Therapy: Present and Future Molecules
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    Chapter 2 Recent Advances in Computational Approaches for Designing Potential Anti-Alzheimer’s Agents
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    Chapter 3 Computer-Aided Drug Design Approaches to Study Key Therapeutic Targets in Alzheimer’s Disease
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    Chapter 4 Virtual Screening in the Search of New and Potent Anti-Alzheimer Agents
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    Chapter 5 Molecular Field Topology Analysis (MFTA) in the Design of Neuroprotective Compounds
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    Chapter 6 Galantamine Derivatives as Acetylcholinesterase Inhibitors: Docking, Design, Synthesis, and Inhibitory Activity
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    Chapter 7 Modeling of BACE-1 Inhibitors as Anti-Alzheimer’s Agents
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    Chapter 8 Design of Anti-Alzheimer’s Disease Agents Focusing on a Specific Interaction with Target Biomolecules
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    Chapter 9 Molecular Docking and Molecular Dynamics Simulation to Evaluate Compounds That Avoid the Amyloid Beta 1-42 Aggregation
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    Chapter 10 In Silico Strategies to Design Small Molecules to Study Beta-Amyloid Aggregation
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    Chapter 11 Computational Approaches to Understand Cleavage Mechanism of Amyloid Beta (A β ) Peptide
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    Chapter 12 Computational Modeling of Gamma-Secretase Inhibitors as Anti-Alzheimer Agents
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    Chapter 13 Molecular Modeling of Tau Proline-Directed Protein Kinase (PDPK) Inhibitors
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    Chapter 14 Computational Modelling of Kinase Inhibitors as Anti-Alzheimer Agents
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    Chapter 15 Computational Modeling of Drugs for Alzheimer’s Disease: Design of Serotonin 5-HT 6 Antagonists
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    Chapter 16 Computational Modeling of Diagnostic Imaging Agents for Alzheimer’s Disease: Molecular Imaging Agents for the In Vivo Detection of Amyloid Plaques in Alzheimer’s Disease
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    Chapter 17 Computational Approaches for Therapeutic Application of Natural Products in Alzheimer’s Disease
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    Chapter 18 In Silico Studies Applied to Natural Products with Potential Activity Against Alzheimer’s Disease
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    Chapter 19 Computational Modeling of Multi-target-Directed Inhibitors Against Alzheimer’s Disease
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    Chapter 20 Neuropharmacology in Flux: Molecular Modeling Tools for Understanding Protein Conformational Shifts in Alzheimer’s Disease and Related Disorders
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    Chapter 21 Computational Nanotechnology: A Tool for Screening Therapeutic Nanomaterials Against Alzheimer’s Disease
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Title
Computational Modeling of Drugs Against Alzheimer’s Disease
Published by
Humana Press, January 2018
DOI 10.1007/978-1-4939-7404-7
ISBNs
978-1-4939-7404-7, 978-1-4939-7403-0
Editors

Kunal Roy

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Student > Bachelor 13 13%
Researcher 7 7%
Student > Master 7 7%
Student > Postgraduate 4 4%
Other 9 9%
Unknown 36 36%
Readers by discipline Count As %
Chemistry 21 21%
Pharmacology, Toxicology and Pharmaceutical Science 15 15%
Biochemistry, Genetics and Molecular Biology 8 8%
Agricultural and Biological Sciences 5 5%
Computer Science 2 2%
Other 8 8%
Unknown 40 40%