Computational Modeling of Drugs Against Alzheimer s Disease

This book PDF is perfect for those who love Medical genre, written by Kunal Roy and published by Springer Nature which was released on 30 June 2023 with total hardcover pages 492. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Modeling of Drugs Against Alzheimer s Disease books below.

Computational Modeling of Drugs Against Alzheimer   s Disease
Author : Kunal Roy
File Size : 50,5 Mb
Publisher : Springer Nature
Language : English
Release Date : 30 June 2023
ISBN : 9781071633113
Pages : 492 pages
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Computational Modeling of Drugs Against Alzheimer s Disease by Kunal Roy Book PDF Summary

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.

Computational Modeling of Drugs Against Alzheimer   s Disease

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

Get Book
Current Trends in Computational Modeling for Drug Discovery

This contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, databases, and tools employed in computer-aided drug design (CADD) covering diverse therapeutic classes. Multiple components of Structure-Based Drug Discovery (

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Computational Approaches for Identifying Drugs Against Alzheimer s Disease

Alzheimer’s disease is the most common form of dementia which is incurable. Although some kinds of memory loss are normal during aging, these are not severe enough to interfere with the level of function. ß-Secretase is an important protease in the pathogenesis of Alzheimer’s disease. Some statine-based peptidomimetics

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Computational Modeling of Drugs Against Alzheimer   s Disease

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

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Alzheimer's disease (AD) represents a growing biomedical, social, and economical problem. Millions of people have suffered from the disease globally. Studies have shown that aggregated forms of amyloid [beta] peptide adversely affect neuronal function and may represent the causative agent in AD. It has been demonstrated that chronic treatment with

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Alzheimer s Disease  Biology  Biophysics And Computational Models

Alzheimer's disease (AD) is the leading cause of dementia and, unfortunately, remains incurable. The social, emotional and financial implications of AD are immeasurable, and about 47 million people worldwide are affected by AD or other forms of dementia. As lifespans are improved by healthcare systems worldwide, age-associated neurodegenerative diseases are imposing

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Computational and Experimental Studies in Alzheimer s Disease

This reference book compiles the recent advances in computational and experimental modeling to screen and manage Alzheimer's disease. The book discusses how computer-aided drug design approaches reduce costs and increase biological test efficiency.

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This book illustrates the importance of natural products as the source for the development of novel drugs for the treatment of neurodegenerative disorders, including Alzheimer's disease. It also highlights the role of reactive oxygen species and altered metal homeostasis in the progression of Alzheimer’s disease and examines the potential

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