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Computational Modeling of Drugs Against Alzheimer’s Disease

  • Kunal Roy

Part of the Neuromethods book series (NM, volume 132)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. An Introduction to the Disease

    1. Front Matter
      Pages 1-1
    2. Awanish Kumar, Ashwini Kumar
      Pages 3-22
  3. Computational Modeling Methods for Anti-Alzheimer Agents

    1. Front Matter
      Pages 23-23
    2. Sergi Gómez-Ganau, Jesús Vicente de Julián-Ortiz, Rafael Gozalbes
      Pages 25-59
    3. Agostinho Lemos, Rita Melo, Irina S. Moreira, M. Natália D. S. Cordeiro
      Pages 61-106
    4. Eugene V. Radchenko, Vladimir A. Palyulin, Nikolay S. Zefirov
      Pages 139-159
  4. Modeling of Ligands Acting Against Specific Anti-Alzheimer Drug Targets

    1. Front Matter
      Pages 161-161
    2. Irini Doytchinova, Mariyana Atanasova, Georgi Stavrakov, Irena Philipova, Dimitrina Zheleva-Dimitrova
      Pages 163-176
    3. Odailson Santos Paz, Thamires Quadros Froes, Franco Henrique Leite, Marcelo Santos Castilho
      Pages 177-206
    4. Maricarmen Hernández Rodríguez, Leticia Guadalupe Fragoso Morales, José Correa Basurto, Martha Cecilia Rosales Hernández
      Pages 229-248
    5. Kailas Dashrath Sonawane, Maruti Jayaram Dhanavade
      Pages 263-282
    6. Carlos Navarro-Retamal, Julio Caballero
      Pages 305-345
    7. Mange Ram Yadav, Mahesh A. Barmade, Rupesh V. Chikhale, Prashant R. Murumkar
      Pages 347-417
    8. Ádám A. Kelemen, Stefan Mordalski, Andrzej J. Bojarski, György M. Keserű
      Pages 419-461
  5. Special Topics

    1. Front Matter
      Pages 481-481
    2. Manika Awasthi, Swati Singh, Sameeksha Tiwari, Veda P. Pandey, Upendra N. Dwivedi
      Pages 483-511
    3. Gerald H. Lushington, Frances E. S. Parker, Thomas H. W. Lushington, Nora M. Wallace
      Pages 573-611
    4. R. Navanietha Krishnaraj, Dipayan Samanta, Rajesh K. Sani
      Pages 613-635
  6. Back Matter
    Pages 637-645

About this book

Introduction

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.

Keywords

ADMET optimization CDK5/p25 AChE inhibitors BACE GSK Drug design Drug development Pharmacology

Editors and affiliations

  • Kunal Roy
    • 1
  1. 1.Department of Pharmaceutical TechnologyJadavpur UniversityKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-7404-7
  • Copyright Information Springer Science+Business Media LLC 2018
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-7403-0
  • Online ISBN 978-1-4939-7404-7
  • Series Print ISSN 0893-2336
  • Series Online ISSN 1940-6045
  • Buy this book on publisher's site