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Molecular Modeling of the Interaction of Aβ with Neuronal Receptors and Computational Design of Drugs Against Alzheimer's Disease

2014 Acetylcholine
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Release : 2014
Genre : Acetylcholine
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Molecular Modeling of the Interaction of Aβ with Neuronal Receptors and Computational Design of Drugs Against Alzheimer's Disease by : Noa Maatuk

Download or read book Molecular Modeling of the Interaction of Aβ with Neuronal Receptors and Computational Design of Drugs Against Alzheimer's Disease written by Noa Maatuk. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Modeling of Drugs Against Alzheimer’s Disease

2023-06-30 Medical
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Release : 2023-06-30
Genre : Medical
Kind : eBook
Book Rating : 112/5 ( reviews)

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Book Synopsis Computational Modeling of Drugs Against Alzheimer’s Disease by : Kunal Roy

Download or read book Computational Modeling of Drugs Against Alzheimer’s Disease written by Kunal Roy. This book was released on 2023-06-30. Available in PDF, EPUB and Kindle. Book excerpt: 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 Approaches for Identifying Drugs Against Alzheimer's Disease

2017-05 Computers
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Release : 2017-05
Genre : Computers
Kind : eBook
Book Rating : 385/5 ( reviews)

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Book Synopsis Computational Approaches for Identifying Drugs Against Alzheimer's Disease by : Radha Mahendran

Download or read book Computational Approaches for Identifying Drugs Against Alzheimer's Disease written by Radha Mahendran. This book was released on 2017-05. Available in PDF, EPUB and Kindle. Book excerpt: 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 show inhibitory activities to the ß-secretase. To explore the inhibitory mechanism, molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) studies on these analogues were performed. Quantitative structure-activity relationship (QSAR) modeling pertains to the construction of predictive models of biological activities as a function of structural and molecular information of a compound library. The concept of QSAR has typically been used for drug discovery and development and has gained wide applicability for correlating molecular information with not only biological activities but also with other physicochemical properties, which has therefore been termed quantitative structure-property relationship (QSPR). In this study, 3D QSAR and pharmacophore mapping studies were carried out using Accelrys Discovery Studio 2.1. The best nine drugs were selected from the 16 ligands and pharmacophore features were generated.

Drug Design and Discovery in Alzheimer's Disease

2015-06-02 Medical
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Release : 2015-06-02
Genre : Medical
Kind : eBook
Book Rating : 595/5 ( reviews)

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Book Synopsis Drug Design and Discovery in Alzheimer's Disease by : Atta-ur Rahman

Download or read book Drug Design and Discovery in Alzheimer's Disease written by Atta-ur Rahman. This book was released on 2015-06-02. Available in PDF, EPUB and Kindle. Book excerpt: Drug Design and Discovery in Alzheimer's Disease includes expert reviews of recent developments in Alzheimer's disease (AD) and neurodegenerative disease research. Originally published by Bentham as Frontiers in Drug Design and Discovery, Volume 6and now distributed by Elsevier, this compilation of the sixteen articles, written by leading global researchers, focuses on key developments in the understanding of the disease at molecular levels, identification and validation of molecular targets, as well as innovative approaches towards drug discovery, development, and delivery. Beginning with an overview of AD pharmacotherapy and existing blockbuster drugs, the reviews cover the potential of both natural and synthetic small molecules; the role of cholinesterases in the on-set and progression of AD and their inhibition; the role of beta-site APP clearing enzyme-1 (BACE-1) in the production of ß-amyloid proteins, one of the key reasons of the progression of AD; and other targets identified for AD drug discovery.

Computational Models of Brain and Behavior

2017-09-11 Psychology
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Release : 2017-09-11
Genre : Psychology
Kind : eBook
Book Rating : 075/5 ( reviews)

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Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa. This book was released on 2017-09-11. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

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