Computational Modeling of Drugs Against Alzheimer’s Disease (2nd ed. 2023)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Neuromethods, 203
Release date:	July 2023
First published:	2023
Editors:	Kunal Roy
Dimensions:	254 x 178mm (L x W)
Pages:	493
Edition:	2nd ed. 2023
ISBN-13:	978-1-07-163310-6
Categories:	Books
LSN:	1-07-163310-4
Barcode:	9781071633106

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