Computational Modeling of Drugs Against Alzheimer's Disease

Kunal Roy

ISBN 10: 1071633139 / ISBN 13: 9781071633137

Edité par Springer US, Springer US, 2023

A propos de cet article

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.

N° de réf. du vendeur 9781071633137

Détails bibliographiques

• Titre: Computational Modeling of Drugs Against Alzheimer's Disease
• Éditeur: Springer US, Springer US
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1071633139
• ISBN à 13 chiffres: 9781071633137
• Reliure: Taschenbuch
• Édition: 2ème Édition
• État de l'article: Neu

A propos de ce titre

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.