Computational Modeling Of Drugs Against Alzheimer S Disease
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Computational Modeling Of Drugs Against Alzheimer S Disease
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Author : Kunal Roy
language : en
Publisher: Springer Nature
Release Date : 2023-06-30
Computational Modeling Of Drugs Against Alzheimer S Disease written by Kunal Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Medical categories.
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.
Current Trends In Computational Modeling For Drug Discovery
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Author : Supratik Kar
language : en
Publisher: Springer Nature
Release Date : 2023-06-30
Current Trends In Computational Modeling For Drug Discovery written by Supratik Kar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Science categories.
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.
Natural Product Based Synthetic Drug Molecules In Alzheimer S Disease
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Author : Abha Sharma
language : en
Publisher: Springer Nature
Release Date : 2023-12-15
Natural Product Based Synthetic Drug Molecules In Alzheimer S Disease written by Abha Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Science categories.
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 of antioxidants and anti-chelating agents in the clinical intervention of neurodegenerative diseases. The book also discusses the role of neuroinflammation in the pathogenesis of Alzheimer’s disease. The chapters provide information about the drug targets, progress in the development of natural product-based therapeutics, biomarkers, fluorescent diagnostic tools, and theranostic for Alzheimer's disease. The book also provides information about the design and synthesis of natural product-based derivatives against the various targets of Alzheimer's disease including epigenetic targets and the metal dyshomeostasis hypothesis. Cutting across different disciplines, this book is a valuable source for neuroscientists, chemical biologists, pharmaceutical researchers, and synthetic biologists.
Deep Generative Models For Integrative Analysis Of Alzheimer S Biomarkers
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Author : Kumar, Abhishek
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Deep Generative Models For Integrative Analysis Of Alzheimer S Biomarkers written by Kumar, Abhishek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Medical categories.
The integration of generative AI and deep learning techniques for Alzheimer's disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer's disease management and patient outcomes. Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer’s research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.
Computer Aided Drug Design Drug Discovery Computational Modelling And Artificial Intelligence
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Author : Fei Ye
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-17
Computer Aided Drug Design Drug Discovery Computational Modelling And Artificial Intelligence written by Fei Ye and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-17 with Science categories.
Advanced Machine Learning Approaches In Cancer Prognosis
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2021-05-29
Advanced Machine Learning Approaches In Cancer Prognosis written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-29 with Technology & Engineering categories.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Sustainable Use Of Plants And Their Products In Neurodegenerative Diseases Management
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Author : Johnson O. Oladele
language : en
Publisher: CRC Press
Release Date : 2025-08-11
Sustainable Use Of Plants And Their Products In Neurodegenerative Diseases Management written by Johnson O. Oladele and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Medical categories.
Neurodegenerative illnesses have negative impacts on the central and peripheral nervous system, which, in turn, affect brain health. Sustainable Use of Plants and Their Products in Neurodegenerative Diseases Management addresses the prevalence and pathogenesis of neurodegenerative diseases and the roles of phytoconstituents in mitigating the progression of neurodegenerative diseases. It provides a molecular understanding of the pathophysiology underpinning neurodegenerative diseases, the role of herbal/plant products and their phytoconstituents in the treatment of these diseases, and practical strategies to prevent these pathological conditions. Features Contains the latest molecular and cellular-based research findings on medicinal plants in brain health and neurodegenerative diseases Explains practical strategies to prevent neurodegenerative diseases using medicinal plants and their phytoconstituents Sustainable Use of Plants and Their Products in Neurodegenerative Diseases Management opens new research areas for academia and scientists; enhances student knowledge in pharmacognosy, medicine, pharmaceuticals, biomedical and biological sciences, and other related fields of studies; and enables traditional healers and clinicians to make recommendations for their neurological patients.
N Heterocycles
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Author : Keshav Lalit Ameta
language : en
Publisher: Springer Nature
Release Date : 2022-04-23
N Heterocycles written by Keshav Lalit Ameta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-23 with Science categories.
This book presents an overview of the recent advancements for the synthesis of small- and medium-sized azaheterocycles, including pyrroles, indoles, pyrimidines, pyridines, pyrrolidines, imidazoles, pyrazoles, pyrazolines, lactams, and 1,2,3-triazoles, which are significant scaffolds for compounds with pharmaceutical uses. The book also discusses various properties and performance attributes of azaheterocycles including their bioactivity and synthetic strategies. Given the contents, the book will be a valuable reference for students, researchers, and professionals interested in organic synthesis and medicinal chemistry.
Indopathy For Neuroprotection Recent Advances
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Author : Surya Pratap Singh
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-12-07
Indopathy For Neuroprotection Recent Advances written by Surya Pratap Singh and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-07 with Medical categories.
Degenerative nerve diseases are age-related, progressive and cause irreversible neurological loss that may lead too death. Chronic diseases like amylotrophic lateral sclerosis, Huntington’s disease, Alzheimer’s disease, and Parkinson’s disease are associated with insoluble protein depositions and pose serious health challenges that may intensify in the coming decades. Current therapies only help to alleviate some of the physical or mental symptoms associated with neurodegenerative diseases, although there is currently no remedy for slow disease progression. In recent years, attempts have been made to discover a mechanism for neurodegenerative diseases and prospective treatment that may help mitigate aging effects and prevent these diseases. Natural products have been a constant source of new approaches for the treatment of neurodegenerative diseases, in particular plant alkaloids and polyphenolic compounds. Indopathy for Neuroprotection: Recent Advances highlights herbal treatments that are preferred over conventional treatments in some regions. Book chapters focus on the effects of various medicinal plants that have shown promise in reversing pathological symptoms of neurodegenerative disease and highlight the neuroprotective role of medicinal herbal phytochemicals and their mechanism of action. The book serves as a reference for pharmacology and herbal medicine scholars as well as healthcare workers interested in information about alternative and complementary therapies for neurological disorders.
Computational Approaches In Drug Discovery Development And Systems Pharmacology
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Author : Rupesh Kumar Gautam
language : en
Publisher: Elsevier
Release Date : 2023-02-15
Computational Approaches In Drug Discovery Development And Systems Pharmacology written by Rupesh Kumar Gautam and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Medical categories.
Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. - Explains computer use in pharmacology using real-life case studies - Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research - Describes the role of AI in pharmacology and applications of CADD in various diseases