Computational Modeling Of Drugs Against Alzheimers Disease

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Computational Modeling of Drugs Against Alzheimer’s Disease

Author : Kunal Roy
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.

Alzheimer's Disease

Author : Thimmaiah Govindaraju
Publisher : Royal Society of Chemistry
ISBN 13 : 1839162740
Total Pages : 531 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Alzheimer's Disease by : Thimmaiah Govindaraju

Download or read book Alzheimer's Disease written by Thimmaiah Govindaraju and published by Royal Society of Chemistry. This book was released on 2022-01-04 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer’s disease is an increasingly common form of dementia and despite rising interest in discovery of novel treatments and investigation into aetiology, there are no currently approved treatments that directly tackle the causes of the condition. Due to its multifactorial pathogenesis, current treatments are directed against symptoms and even precise diagnosis remains difficult as the majority of cases are diagnosed symptomatically and usually confirmed only by autopsy. Alzheimer’s Disease: Recent Findings in Pathophysiology, Diagnostic and Therapeutic Modalities provides a comprehensive overview from aetiology and neurochemistry to diagnosis, evaluation and management of Alzheimer's disease, and latest therapeutic approaches. Intended to provide an introduction to all aspects of the disease and latest developments, this book is ideal for students, postgraduates and researchers in neurochemistry, neurological drug discovery and Alzheimer’s disease.

Current Trends in Computational Modeling for Drug Discovery

Author : Supratik Kar
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.

Computational Models of Brain and Behavior

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
ISBN 13 : 1119159075
Total Pages : 588 pages
Book Rating : 4.1/5 (191 download)

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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 and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 588 pages. 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.

Improving and Accelerating Therapeutic Development for Nervous System Disorders

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309292492
Total Pages : 107 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Improving and Accelerating Therapeutic Development for Nervous System Disorders by : Institute of Medicine

Download or read book Improving and Accelerating Therapeutic Development for Nervous System Disorders written by Institute of Medicine and published by National Academies Press. This book was released on 2014-02-06 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving and Accelerating Therapeutic Development for Nervous System Disorders is the summary of a workshop convened by the IOM Forum on Neuroscience and Nervous System Disorders to examine opportunities to accelerate early phases of drug development for nervous system drug discovery. Workshop participants discussed challenges in neuroscience research for enabling faster entry of potential treatments into first-in-human trials, explored how new and emerging tools and technologies may improve the efficiency of research, and considered mechanisms to facilitate a more effective and efficient development pipeline. There are several challenges to the current drug development pipeline for nervous system disorders. The fundamental etiology and pathophysiology of many nervous system disorders are unknown and the brain is inaccessible to study, making it difficult to develop accurate models. Patient heterogeneity is high, disease pathology can occur years to decades before becoming clinically apparent, and diagnostic and treatment biomarkers are lacking. In addition, the lack of validated targets, limitations related to the predictive validity of animal models - the extent to which the model predicts clinical efficacy - and regulatory barriers can also impede translation and drug development for nervous system disorders. Improving and Accelerating Therapeutic Development for Nervous System Disorders identifies avenues for moving directly from cellular models to human trials, minimizing the need for animal models to test efficacy, and discusses the potential benefits and risks of such an approach. This report is a timely discussion of opportunities to improve early drug development with a focus toward preclinical trials.

Drug-like Properties: Concepts, Structure Design and Methods

Author : Li Di
Publisher : Elsevier
ISBN 13 : 0080557619
Total Pages : 549 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Drug-like Properties: Concepts, Structure Design and Methods by : Li Di

Download or read book Drug-like Properties: Concepts, Structure Design and Methods written by Li Di and published by Elsevier. This book was released on 2010-07-26 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties. - Serves as an essential working handbook aimed at scientists and students in medicinal chemistry - Provides practical, step-by-step guidance on property fundamentals, effects, structure-property relationships, and structure modification strategies - Discusses improvements in pharmacokinetics from a practical chemist's standpoint

Natural Product-based Synthetic Drug Molecules in Alzheimer's Disease

Author : Abha Sharma
Publisher : Springer Nature
ISBN 13 : 981996038X
Total Pages : 447 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Natural Product-based Synthetic Drug Molecules in Alzheimer's Disease by : Abha Sharma

Download or read book Natural Product-based Synthetic Drug Molecules in Alzheimer's Disease written by Abha Sharma and published by Springer Nature. This book was released on 2024-01-16 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Kumar, Abhishek
Publisher : IGI Global
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers by : Kumar, Abhishek

Download or read book Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers written by Kumar, Abhishek and published by IGI Global. This book was released on 2024-11-01 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Approaches in Drug Discovery, Development and Systems Pharmacology

Author : Rupesh Kumar Gautam
Publisher : Elsevier
ISBN 13 : 0323993737
Total Pages : 364 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Computational Approaches in Drug Discovery, Development and Systems Pharmacology by : Rupesh Kumar Gautam

Download or read book Computational Approaches in Drug Discovery, Development and Systems Pharmacology written by Rupesh Kumar Gautam and published by Elsevier. This book was released on 2023-02-15 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Advanced Machine Learning Approaches in Cancer Prognosis

Author : Janmenjoy Nayak
Publisher : Springer Nature
ISBN 13 : 3030719758
Total Pages : 461 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advanced Machine Learning Approaches in Cancer Prognosis by : Janmenjoy Nayak

Download or read book Advanced Machine Learning Approaches in Cancer Prognosis written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2021-05-29 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

N-Heterocycles

Author : Keshav Lalit Ameta
Publisher : Springer Nature
ISBN 13 : 981190832X
Total Pages : 465 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis N-Heterocycles by : Keshav Lalit Ameta

Download or read book N-Heterocycles written by Keshav Lalit Ameta and published by Springer Nature. This book was released on 2022-04-23 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computer-Aided Drug Design: Drug Discovery, Computational Modelling, and Artificial Intelligence

Author : Fei Ye
Publisher : Frontiers Media SA
ISBN 13 : 2889767841
Total Pages : 205 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Computer-Aided Drug Design: Drug Discovery, Computational Modelling, and Artificial Intelligence by : Fei Ye

Download or read book Computer-Aided Drug Design: Drug Discovery, Computational Modelling, and Artificial Intelligence written by Fei Ye and published by Frontiers Media SA. This book was released on 2022-08-17 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics

Author : Marco Tutone
Publisher :
ISBN 13 : 9783036527789
Total Pages : 387 pages
Book Rating : 4.5/5 (277 download)

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Book Synopsis Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics by : Marco Tutone

Download or read book Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics written by Marco Tutone and published by . This book was released on 2021 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of original research articles in the field of computer-aided drug design. It reports the use of current and validated computational approaches applied to drug discovery as well as the development of new computational tools to identify new and more potent drugs.

Fundamentals of Neural Network Modeling

Author : Randolph W. Parks
Publisher : MIT Press
ISBN 13 : 9780262161756
Total Pages : 450 pages
Book Rating : 4.1/5 (617 download)

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Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks

Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble

Improving the Utility and Translation of Animal Models for Nervous System Disorders

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309266335
Total Pages : 111 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Improving the Utility and Translation of Animal Models for Nervous System Disorders by : Institute of Medicine

Download or read book Improving the Utility and Translation of Animal Models for Nervous System Disorders written by Institute of Medicine and published by National Academies Press. This book was released on 2013-04-25 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nervous system diseases and disorders are highly prevalent and substantially contribute to the overall disease burden. Despite significant information provided by the use of animal models in the understanding of the biology of nervous system disorders and the development of therapeutics; limitations have also been identified. Treatment options that are high in efficacy and low in side effects are still lacking for many diseases and, in some cases are nonexistent. A particular problem in drug development is the high rate of attrition in Phase II and III clinical trials. Why do many therapeutics show promise in preclinical animal models but then fail to elicit predicted effects when tested in humans? On March 28 and 29, 2012, the Institute of Medicine Forum on Neuroscience and Nervous System Disorders convened the workshop "Improving Translation of Animal Models for Nervous System Disorders" to discuss potential opportunities for maximizing the translation of new therapies from animal models to clinical practice. The primary focus of the workshop was to examine mechanisms for increasing the efficiency of translational neuroscience research through discussions about how and when to use animal models most effectively and then best approaches for the interpretation of the data collected. Specifically, the workshop objectives were to: discuss key issues that contribute to poor translation of animal models in nervous system disorders, examine case studies that highlight successes and failures in the development and application of animal models, consider strategies to increase the scientific rigor of preclinical efficacy testing, explore the benefits and challenges to developing standardized animal and behavioral models. Improving the Utility and Translation of Animal Models for Nervous System Disorders: Workshop Summary also identifies methods to facilitate development of corresponding animal and clinical endpoints, indentifies methods that would maximize bidirectional translation between basic and clinical research and determines the next steps that will be critical for improvement of the development and testing of animal models of disorders of the nervous system.

Indopathy for Neuroprotection: Recent Advances

Author : Surya Pratap Singh
Publisher : Bentham Science Publishers
ISBN 13 : 9815050877
Total Pages : 417 pages
Book Rating : 4.8/5 (15 download)

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Book Synopsis Indopathy for Neuroprotection: Recent Advances by : Surya Pratap Singh

Download or read book Indopathy for Neuroprotection: Recent Advances written by Surya Pratap Singh and published by Bentham Science Publishers. This book was released on 2022-12-07 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Basic Fundamentals of Drug Delivery

Author :
Publisher : Academic Press
ISBN 13 : 0128179104
Total Pages : 812 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Basic Fundamentals of Drug Delivery by :

Download or read book Basic Fundamentals of Drug Delivery written by and published by Academic Press. This book was released on 2018-11-30 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Fundamentals of Drug Delivery covers the fundamental principles, advanced methodologies and technologies employed by pharmaceutical scientists, researchers and pharmaceutical industries to transform a drug candidate or new chemical entity into a final administrable drug delivery system. The book also covers various approaches involved in optimizing the therapeutic performance of a biomolecule while designing its appropriate advanced formulation. - Provides up-to-date information on translating the physicochemical properties of drugs into drug delivery systems - Explores how drugs are administered via various routes, such as orally, parenterally, transdermally or through inhalation - Contains extensive references and further reading for course and self-study