Computational Modeling of Drugs Against Alzheimer's Disease

Kunal Roy

ISBN 10: 1071633139 / ISBN 13: 9781071633137

Published by Springer US, Springer US, 2023

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This second edition volume expands on the previous edition with updated descriptions on different computational methods encompassing ligand-based, structure-based, and combined approaches with their recent applications in anti-Alzheimer drug design. Different background topics like recent advancements in research on the development of novel therapies and their implications in the treatment of Alzheimer's Disease (AD) have also been covered for completeness. Special topics like basic information science methods for insight into neurodegenerative pathogenesis, drug repositioning and network pharmacology, and online tools to predict ADMET behavior with reference to anti-Alzheimer drug development have also been included. In the Neuromethods series style, chapter include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.Cutting-edge and thorough, Computational Modeling of Drugs Against Alzheimer's Disease, Second Edition is a valuable resource for all researchers and scientists interested in learning more about this important and developing field.

Seller Inventory # 9781071633137

Bibliographic Details

• Title: Computational Modeling of Drugs Against Alzheimer's Disease
• Publisher: Springer US, Springer US
• Publication Date: 2023
• Language: English
• ISBN 10: 1071633139
• ISBN 13: 9781071633137
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu

About this title

Synopsis

This second edition volume expands on the previous edition with updated descriptions on different computational methods encompassing ligand-based, structure-based, and combined approaches with their recent applications in anti-Alzheimer drug design. Different background topics like recent advancements in research on the development of novel therapies and their implications in the treatment of Alzheimer’s Disease (AD) have also been covered for completeness. Special topics like basic information science methods for insight into neurodegenerative pathogenesis, drug repositioning and network pharmacology, and online tools to predict ADMET behavior with reference to anti-Alzheimer drug development have also been included. In the Neuromethods series style, chapter include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.

Cutting-edge and thorough, Computational Modeling of Drugs Against Alzheimer’s Disease, Second Edition is a valuable resource for all researchers and scientists interested in learning more about this important and developing field.