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.
Inhaltsverzeichnis
Alzheimer s Disease Therapy: Present and Future Molecules. - Recent Advances in Computational Approaches for Designing Potential Anti-Alzheimer s Agents. - Computer-Aided Drug Design Approaches to Study Key Therapeutic Targets in Alzheimer s Disease. - Virtual Screening in the Search of New and Potent Anti-Alzheimer Agents. - Molecular Field Topology Analysis (MFTA) in the Design of Neuroprotective Compounds. - Galantamine Derivatives as Acetylcholinesterase Inhibitors: Docking, Design, Synthesis, and Inhibitory Activity. - Modeling of BACE-1 Inhibitors as Anti-Alzheimer s Agents. - Design of Anti-Alzheimer s Disease Agents Focusing on a Specific Interaction with Target Biomolecules. - Molecular Docking and Molecular Dynamics Simulation to Evaluate Compounds that Avoid the Amyloid Beta 1-42 Aggregation. - In Silico Strategies to Design Small Molecules to Study Beta-Amyloid Aggregation. - Computational Approaches to Understand Cleavage Mechanism of Amyloid Beta (Aß) Peptide. - Computational Modeling of Gamma-Secretase Inhibitors as Anti-Alzheimer Agents. - Molecular Modeling of Tau Proline-Directed Protein Kinase (PDPK) Inhibitors. - Computational Modeling of Kinase Inhibitors as Anti-Alzheimer Agents. - Computational Modeling of Drugs for Alzheimer's Disease: Design of Serotonin 5-HT6 Antagonists. - 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. - Computational Approaches for Therapeutic Application of Natural Products in Alzheimer s Disease. - In Silico Studies Applied to Natural Products with Potential Activity against Alzheimer s Disease. - Computational Modeling of Multi-Target Directed Inhibitors against Alzheimer's Disease. - Neuropharmacology in Flux: Molecular Modeling Tools for Understanding Protein Conformational Shifts in Alzheimer s Disease and Related Disorders. - Computational Nanotechnology: A Tool for Screening Therapeutic Nanomaterials against Alzheimer's Disease.
