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Titlebook: Computational Modeling of Drugs Against Alzheimer’s Disease; Kunal Roy Book 2023Latest edition The Editor(s) (if applicable) and The Autho

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发表于 2025-3-21 17:51:15 | 显示全部楼层 |阅读模式
书目名称Computational Modeling of Drugs Against Alzheimer’s Disease
编辑Kunal Roy
视频video
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Neuromethods
图书封面Titlebook: Computational Modeling of Drugs Against Alzheimer’s Disease;  Kunal Roy Book 2023Latest edition The Editor(s) (if applicable) and The Autho
描述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..
出版日期Book 2023Latest edition
关键词drug development; acetylcholinesterase; butyrylcholinesterase; NMDA receptor; BACE-1 inhibitors
版次2
doihttps://doi.org/10.1007/978-1-0716-3311-3
isbn_softcover978-1-0716-3313-7
isbn_ebook978-1-0716-3311-3Series ISSN 0893-2336 Series E-ISSN 1940-6045
issn_series 0893-2336
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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发表于 2025-3-21 20:20:47 | 显示全部楼层
Recent Advances in Computational Modeling of BACE1 Inhibitors as Anti-Alzheimer Agentsdefined by progressive neuronal death and synaptic loss in the human brain and can be brought on by both genetic and environmental risk factors. The beta-site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1) is the major beta secretase for the generation of amyloid-β peptides in the neurons
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Computer-Assisted Drug Design: A Toolbox for Novel Tau Kinase Inhibitors and Its Implications in Alzies in proteins, responsible for regulating normal cellular metabolism. However, a slight imbalance in the kinase signaling pathways leads to hyperphosphorylation of the residues, resulting in pathological disorders eventually leading to neurodegenerative diseases. Therefore, the design of scaffolds
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Computational Modeling Approaches in Search of Anti-Alzheimer’s Disease Agents: Case Studies of Phos messengers: cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP). Due to the high expression of various PDE subfamilies in the human brain, PDE inhibition has a substantial impact on neurodegenerative diseases by controlling the level of cAMP or cGMP. In this regard, seve
发表于 2025-3-22 17:17:50 | 显示全部楼层
Recent Advances in Computational Modeling of Multi-targeting Inhibitors as Anti-Alzheimer Agentsnges. It is highly prevalent in the elderly, with a constantly growing number of new cases worldwide. In affluent nations with aging populations, AD has been a major source of economic and social problems. As a result, the discovery of novel treatment methods for this disease is now crucial. With ad
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Computational Modeling of DYRK1A Inhibitors as Potential Anti-Alzheimer Agents, especially Alzheimer’s disease (AD). In this chapter, different ligand-based and structure-based computational approaches were explored to develop a workflow for the selection of potential candidates as inhibitors of DYRK1A. The NuBBE database—comprising different compounds from the Brazilian biod
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