Alzheimer's Disease: Biology, Biophysics And Computational Models

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Publisher : World Scientific
ISBN 13 : 1800610130
Total Pages : 416 pages
Book Rating : 4.8/5 (6 download)

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Book Synopsis Alzheimer's Disease: Biology, Biophysics And Computational Models by : Don Kulasiri

Download or read book Alzheimer's Disease: Biology, Biophysics And Computational Models written by Don Kulasiri and published by World Scientific. This book was released on 2022-01-06 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 an increasing challenge to science. It is becoming imperative for us to understand the causes of these diseases, AD in particular, at molecular and cellular levels. Starting with the broader picture from a biological perspective, this book takes the reader through fascinating dynamics within and outside of neurons in the brain.Alzheimer's Disease: Biology, Biophysics and Computational Models helps the reader to understand AD from mechanistic and biochemical perspectives at intra- and inter-cellular levels. It focuses on biochemical pathways and modeling associated with AD. Some of the recent research on biophysics and computational models related to AD are explained using context-driven computational and mathematical modeling and essential biology is discussed to understand the modeling research.

Computational Modeling of Drugs Against Alzheimer’s Disease

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Publisher : Springer Nature
ISBN 13 : 1071633112
Total Pages : 492 pages
Book Rating : 4.0/5 (716 download)

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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 and published by Springer Nature. This book was released on 2023-06-30 with total page 492 pages. 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 Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement

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Publisher : #N/A
ISBN 13 : 1786343398
Total Pages : 363 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement by : Don Kulasiri

Download or read book Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement written by Don Kulasiri and published by #N/A. This book was released on 2017-06-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.

Computational Neurogenetic Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 0387483551
Total Pages : 311 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Computational Neurogenetic Modeling by : Lubica Benuskova

Download or read book Computational Neurogenetic Modeling written by Lubica Benuskova and published by Springer Science & Business Media. This book was released on 2010-05-05 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines.

Computational and Experimental Studies in Alzheimer's Disease

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Publisher : CRC Press
ISBN 13 : 1003857345
Total Pages : 210 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational and Experimental Studies in Alzheimer's Disease by : Kunal Bhattacharya

Download or read book Computational and Experimental Studies in Alzheimer's Disease written by Kunal Bhattacharya and published by CRC Press. This book was released on 2024-03-29 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference book compiles the recent advances in computational and experimental modelling to screen and manage Alzheimer’s disease. It covers basic etiopathology and various in vitro and in vivo strategies of disease intervention. The book discusses how computer-aided drug design approaches reduce costs and increase biological test efficiency. It reviews the screening for anti-Alzheimer drugs and biomarker analysis of disease inhibitors. The book also explores mechanistic aspects of neurodegeneration and the use of natural products as therapeutics for Alzheimer’s disease. Key features: Elaborates on the computational modelling of protein target inhibitors as anti-Alzheimer’s agents Explains the role of phytomolecules and natural products in Alzheimer’s therapy Reviews preclinical ways to assess drugs focusing on Alzheimer’s disease Covers biomarker analysis for Alzheimer’s disease Discusses the onset and progression of Alzheimer’s disease The book is meant for professionals, researchers, and students of neuroscience, psychology, and computational neurosciences.

Computational Chemotaxis Models For Neurodegenerative Disease

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Publisher : World Scientific Publishing Company
ISBN 13 : 9813207477
Total Pages : 172 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Computational Chemotaxis Models For Neurodegenerative Disease by : William E Schiesser

Download or read book Computational Chemotaxis Models For Neurodegenerative Disease written by William E Schiesser and published by World Scientific Publishing Company. This book was released on 2017-02-24 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematical model presented in this book, based on partial differential equations (PDEs) describing attractant-repellent chemotaxis, is offered for a quantitative analysis of neurodegenerative disease (ND), e.g., Alzheimer's disease (AD). The model is a representation of basic phenomena (mechanisms) for diffusive transport and biochemical kinetics that provides the spatiotemporal distribution of components which could explain the evolution of ND, and is offered with the intended purpose of providing a small step toward the understanding, and possible treatment of ND.The format and emphasis of the presentation is based on the following elements:In other words, a methodology for numerical PDE modeling is presented that is flexible, open ended and readily implemented on modest computers. If the reader is interested in an alternate model, it might possibly be implemented by: (1) modifying and/or extending the current model (for example, by adding terms to the PDEs or adding additional PDEs), or (2) using the reported routines as a prototype for the model of interest.These suggestions illustrate an important feature of computer-based modeling, that is, the readily available procedure of numerically experimenting with a model. The current model is offered as only a first step toward the resolution of this urgent medical problem.

Biophysics And Biochemistry Of Protein Aggregation: Experimental And Theoretical Studies On Folding, Misfolding, And Self-assembly Of Amyloidogenic Peptides

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Publisher : World Scientific
ISBN 13 : 9813202394
Total Pages : 327 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Biophysics And Biochemistry Of Protein Aggregation: Experimental And Theoretical Studies On Folding, Misfolding, And Self-assembly Of Amyloidogenic Peptides by : Jian-min Yuan

Download or read book Biophysics And Biochemistry Of Protein Aggregation: Experimental And Theoretical Studies On Folding, Misfolding, And Self-assembly Of Amyloidogenic Peptides written by Jian-min Yuan and published by World Scientific. This book was released on 2017-06-02 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews current research on the important processes involved in neurodegenerative diseases (e.g. Alzheimer's disease) and the peptides and proteins involved in the amyloidogenic processes. It covers the design and developments of anti-amyloid inhibitors, and gives readers a fundamental understanding of the underlying oligomerization and aggregation processes of these diseases from both computational and experimental points of view.

Statistical and Process Models for Cognitive Neuroscience and Aging

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Publisher : Psychology Press
ISBN 13 : 1135603340
Total Pages : 325 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Statistical and Process Models for Cognitive Neuroscience and Aging by : Michael J. Wenger

Download or read book Statistical and Process Models for Cognitive Neuroscience and Aging written by Michael J. Wenger and published by Psychology Press. This book was released on 2007-01-30 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical and Process Models for Cognitive Neuroscience and Aging addresses methodological techniques for researching cognitive impairment, Alzheimer's disease, the biophysics and structure of the nervous system, the physiology of memory, and the analysis of EEG data. Each chapter, written by the expert in the area, provides a carefully crafted i

Systems Biology of Alzheimer's Disease

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Publisher : Humana
ISBN 13 : 9781493947034
Total Pages : 0 pages
Book Rating : 4.9/5 (47 download)

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Book Synopsis Systems Biology of Alzheimer's Disease by : Juan I. Castrillo

Download or read book Systems Biology of Alzheimer's Disease written by Juan I. Castrillo and published by Humana. This book was released on 2016-10-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer’s disease (AD) and many other neurodegenerative disorders are multifactorial in nature, involving a combination of genomic, epigenomic, network dynamic and environmental factors. A proper investigation requires new integrative Systems Biology approaches, at both the experimental and computational level. The interplay of disease mechanisms and homeostatic networks will underlie the time of onset and rate of progression of the disease. This book addresses such an integrated approach to AD. It aims to present Systems Biology, including both experimental and computational approaches, as a new strategy for the study of AD and other multifactorial diseases, with the hope that the results will translate into more effective diagnosis and treatment, as well as improved public health policies. Written for the highly successful Methods in Molecular Biology series, practical and cutting-edge, Systems Biology of Alzheimer’s Disease is intended for post-graduate students, post-doctoral researchers and experts in different fields with an interest in comprehensive Systems Biology strategies applicable to AD and other complex multifactorial diseases (including other neurodegenerative diseases and cancers). This book aims to complement other excellent volumes and monographs on AD that cover fundamental, physiological or medical aspects of the disease.

Computational Approaches for Identifying Drugs Against Alzheimer's Disease

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Publisher : diplom.de
ISBN 13 : 3960676387
Total Pages : 68 pages
Book Rating : 4.9/5 (66 download)

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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 and published by diplom.de. This book was released on 2017-03-23 with total page 68 pages. 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.

Current Trends in Computational Modeling for Drug Discovery

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Publisher : Springer Nature
ISBN 13 : 3031338715
Total Pages : 311 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Current Trends in Computational Modeling for Drug Discovery by : Supratik Kar

Download or read book Current Trends in Computational Modeling for Drug Discovery written by Supratik Kar and published by Springer Nature. This book was released on 2023-06-30 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 (SBDD) along with its workflow and associated challenges are presented while potential leads for Alzheimer’s disease (AD), antiviral agents, anti-human immunodeficiency virus (HIV) drugs, and leads for Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV) disease are discussed in detail. Computational toxicological aspects in drug design and discovery, screening adverse effects, and existing or future in silico tools are highlighted, while a novel in silico tool, RASAR, which can be a major technique for small to big datasets when not much experimental data are present, is presented. The book also introduces the reader to the major drug databases covering drug molecules, chemicals, therapeutic targets, metabolomics, and peptides, which are great resources for drug discovery employing drug repurposing, high throughput, and virtual screening. This volume is a great tool for graduates, researchers, academics, and industrial scientists working in the fields of cheminformatics, bioinformatics, computational biology, and chemistry.

GeNeDis 2020

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Publisher : Springer Nature
ISBN 13 : 3030787753
Total Pages : 288 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis GeNeDis 2020 by : Panayiotis Vlamos

Download or read book GeNeDis 2020 written by Panayiotis Vlamos and published by Springer Nature. This book was released on 2022-01-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.

Alzheimer's Disease Research Guide

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Publisher : Elsevier
ISBN 13 : 0443289808
Total Pages : 284 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Alzheimer's Disease Research Guide by : Takaomi C. Saido

Download or read book Alzheimer's Disease Research Guide written by Takaomi C. Saido and published by Elsevier. This book was released on 2024-07-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer's Disease Research Guide: Animal Models for Understanding Mechanisms and Medications provides researchers with a comprehensive guide, detailing every aspect of Alzheimer's Disease research, including chapters on neuroinflammation, immunotherapy, biomarkers, and animal modeling. This book begins with historical perspectives of both pathological chronology and pathological biochemistry in relation to Alzheimer's disease. Other chapters review Amyloidogenic AB and Non-Amyloidogenic tau and Metabolism of AB major components to the research and understanding of Alzheimer's research. The book concludes with specific treatment chapters including how to develop safe, effective, and inexpensive medications and the application of genome editing to the treatment of Familial Alzheimer's Disease.Written by world renowned expert in Alzheimer's research, this book is a valuable resource for all researchers. - Reviews why familial Alzheimer's disease is vital to understanding sporadic Alzheimer's disease - Describes the latest "game changer" animal models of Alzheimer's disease and frontotemporal dementia in detail - Explains how various Alzheimer's disease medications have failed clinical trials - Discusses pros and cons of therapeutic antibodies, lecanemab and donanemab, that were recently found to be effective in recent clinical trials - Details the application of genome editing as a treatment for familial Alzheimer's disease - Proposes publishing "Journal of Negative Data" for the days of generative AI-assisted publication, AI being unable to distinguish between reproducible and unreproducible data, particularly important in Alzheimer's research

Computational Neurogenetic Modeling

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Publisher : Springer
ISBN 13 : 9780387564494
Total Pages : 0 pages
Book Rating : 4.5/5 (644 download)

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Book Synopsis Computational Neurogenetic Modeling by : Lubica Benuskova

Download or read book Computational Neurogenetic Modeling written by Lubica Benuskova and published by Springer. This book was released on 2008-10-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines.

Computational Systems Biology Methods to Study Alzheimer's Disease

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Publisher :
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.:/5 (416 download)

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Book Synopsis Computational Systems Biology Methods to Study Alzheimer's Disease by : Monika Ray

Download or read book Computational Systems Biology Methods to Study Alzheimer's Disease written by Monika Ray and published by . This book was released on 2009 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biomat 2005 - Proceedings Of The International Symposium On Mathematical And Computational Biology

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Publisher : World Scientific
ISBN 13 : 9814478091
Total Pages : 409 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Biomat 2005 - Proceedings Of The International Symposium On Mathematical And Computational Biology by : Rubem P Mondaini

Download or read book Biomat 2005 - Proceedings Of The International Symposium On Mathematical And Computational Biology written by Rubem P Mondaini and published by World Scientific. This book was released on 2006-04-25 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the contributions of the keynote speakers to the BIOMAT 2005 symposium, as well as a collection of selected papers by pioneering researchers. It provides a comprehensive review of the mathematical modeling of cancer development, Alzheimer's disease, malaria, and aneurysm development. Various models for the immune system and epidemiological issues are analyzed and reviewed. The book also explores protein structure prediction by optimization and combinatorial techniques (Steiner trees). The coverage includes bioinformatics issues, regulation of gene expression, evolution, development, DNA and array modeling, and small world networks.

Computational Modeling of Biological Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461421462
Total Pages : 360 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Computational Modeling of Biological Systems by : Nikolay V Dokholyan

Download or read book Computational Modeling of Biological Systems written by Nikolay V Dokholyan and published by Springer Science & Business Media. This book was released on 2012-02-10 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.