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Author : Mithun Rudrapal,Rudra Pangeni,Keshav Raj Paudel
Publisher : Frontiers Media SA
Page : 170 pages
File Size : 45,6 Mb
Release : 2023-01-30
Category : Science
ISBN : 9782832512623
Author : Shao Li
Publisher : Springer Nature
Page : 480 pages
File Size : 46,7 Mb
Release : 2021-09-29
Category : Medical
ISBN : 9789811607530
This book introduces “network pharmacology” as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid attention by researchers, and it has been rapidly developed and widely used. In order to systematically reveal the biological basis of diagnosis and treatment in traditional Chinese medicine and modern medicine, we proposed a new concept of "network target" for the first time, which has become the core theory of "network pharmacology". The core principle of a network target is to construct a biological network that can be used to decipher complex diseases. The network is then used as the therapeutic target, to which multicomponent remedies are applied. This book mainly includes four parts: 1) The concept and theory of network pharmacology; 2) Common analysis methods, databases and software in network pharmacological research; 3) Typical cases of traditional Chinese medicine modernization and modern drug research based on network pharmacology; 4) Network pharmacology practice process based on drugs and diseases.
Author : Jens-Uwe Peters
Publisher : John Wiley & Sons
Page : 542 pages
File Size : 40,6 Mb
Release : 2012-03-13
Category : Medical
ISBN : 9780470590904
An essential outline of the main facets of polypharmacology in drug discovery research Extending drug discovery opportunities beyond the "one drug, one target" philosophy, a polypharmacological approach to the treatment of complex diseases is emerging as a hot topic in both industry and academic research. Polypharmacology in Drug Discovery presents an overview of the various facets of polypharmacology and how it can be applied as an innovative concept for developing medicines for treating bacterial infections, epilepsy, cancer, psychiatric disorders, and more. Filled with a collection of instructive case studies that reinforce the material and illuminate the subject, this practical guide: Covers the two-sided nature of polypharmacology—its contribution to adverse drug reactions and its benefit in certain therapeutic drug classes Addresses the important topic of polypharmacology in drug discovery, a subject that has not been thoroughly covered outside of scattered journal articles Overviews state-of-the-art approaches and developments to help readers understand concepts and issues related to polypharmacology Fosters interdisciplinary drug discovery research by embracing computational, synthetic, in vitro and in vivo pharmacological and clinical aspects of polypharmacology A clear road map for helping readers successfully navigate around the problems involved with promiscuous ligands and targets, Polypharmacology in Drug Discovery provides real examples, in-depth explanations and discussions, and detailed reviews and opinions to spark inspiration for new drug discovery projects.
Author : Farid A. Badria
Publisher : BoD – Books on Demand
Page : 236 pages
File Size : 46,7 Mb
Release : 2020-12-02
Category : Medical
ISBN : 9781839685200
Drug repurposing or drug repositioning is a new approach to presenting new indications for common commercial and clinically approved existing drugs. For example, chloroquine, an old antimalarial drug, showed promising results for treating COVID-19, interfering with MDR in several types of cancer, and chemosensitizing human leukemic cells.This book focuses on the hypothesis, risk/benefits, and economic impacts of drug repurposing on drug discovery in dermatology, infectious diseases, neurological disorders, cancer, and orphan diseases. It brings together up-to-date research to provide readers with an informative, illustrative, and easy-to-read book useful for students, clinicians, and the pharmaceutical industry.
Author : Nathan Brown
Publisher : Royal Society of Chemistry
Page : 425 pages
File Size : 40,5 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9781839160547
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Author : Norbert Handler
Publisher : John Wiley & Sons
Page : 538 pages
File Size : 47,9 Mb
Release : 2018-02-27
Category : Medical
ISBN : 9783527335381
The book "Drug Selectivity - An Evolving Concept in Medicinal Chemistry" provides a current overview and comprehensive compilation for medicinal chemists that discusses the effects of aiming for multiple targets on the entire drug development process. The result is a broad survey of current and future strategies for drug selectivity in medicinal chemistry with theoretical but also practical aspects. Different strategies are presented and evaluated, such as various design approaches, merged multiple ligands, discovery technologies and a broad range of successful examples of unselective drugs taken from all major disease areas. With its wide-ranging view of an emerging new paradigm in drug development, this handbook is of prime importance for every medicinal and pharmaceutical chemist.
Author : Kenneth K.W. To,William C.S. Cho
Publisher : Academic Press
Page : 460 pages
File Size : 55,5 Mb
Release : 2020-07-29
Category : Science
ISBN : 9780128199039
Drug Repurposing in Cancer Therapy: Approaches and Applications provides comprehensive and updated information from experts in basic science research and clinical practice on how existing drugs can be repurposed for cancer treatment. The book summarizes successful stories that may assist researchers in the field to better design their studies for new repurposing projects. Sections discuss specific topics such as in silico prediction and high throughput screening of repurposed drugs, drug repurposing for overcoming chemoresistance and eradicating cancer stem cells, and clinical investigation on combination of repurposed drug and anticancer therapy. Cancer researchers, oncologists, pharmacologists and several members of biomedical field who are interested in learning more about the use of existing drugs for different purposes in cancer therapy will find this to be a valuable resource. Presents a systematic and up-to-date collection of the research underpinning the various drug repurposing approaches for a quick, but in-depth understanding on current trends in drug repurposing research Brings better understanding of the drug repurposing process in a holistic way, combining both basic and clinical sciences Encompasses a collection of successful stories of drug repurposing for cancer therapy in different cancer types
Author : Bhushan Patwardhan,Rathnam Chaguturu
Publisher : Academic Press
Page : 480 pages
File Size : 47,8 Mb
Release : 2016-10-03
Category : Medical
ISBN : 9780128018224
Despite considerable technological advances, the pharmaceutical industry is experiencing a severe innovation deficit, especially in the discovery of new drugs. Innovative Approaches in Drug Discovery: Ethnopharmacology, Systems Biology and Holistic Targeting provides a critical review and analysis of health, disease and medicine, and explores possible reasons behind the present crisis in drug discovery. The authors illustrate the benefits of systems biology and pharmacogenomics approaches, and advocate the expansion from disease-centric discovery to person-centric therapeutics involving holistic, multi-target, whole systems approaches. This book lays a path for reigniting pharmaceutical innovation through a disciplined reemergence of pharmacognosy, embracing open innovation models and collaborative, trusted public-private partnerships. With unprecedented advances made in the development of biomedically-relevant tools and technologies, the need is great and the time is now for a renewed commitment towards expanding the repertoire of medicines. By incorporating real-life examples and state-of-the-art reviews, this book provides valuable insights into the discovery and development strategies for professionals, academicians, and students in the pharmaceutical sciences. Analyzes the reasons behind historical drug failures to provide valuable insights on lessons learned Uses current scientific research to promote learning from traditional knowledge systems and through the integration of traditional and western medicines Discusses advances in technologies and systems biology to support the transition from formulation discovery to therapeutic discovery
Author : Pulok K. Mukherjee
Publisher : Elsevier
Page : 858 pages
File Size : 53,6 Mb
Release : 2022-07-12
Category : Business & Economics
ISBN : 9780323984560
Evidence-Based Validation of Herbal Medicines: Translational Research on Botanicals brings together current thinking and practice in the characterization and validation of natural products. The book describes different approaches and techniques for evaluating the quality, safety and efficacy of herbal medicine, particularly methods to assess their activity and understand compounds responsible and their probable underlying mechanisms of action. This book brings together the views, expertise and experiences of scientific experts in the field of medicinal plant research, hence it will be useful for researcher who want to know more about the natural lead with their validation and also useful to exploit traditional medicines. Includes state-of-the-art methods for detecting, isolating and performing structure elucidation by degradation and spectroscopic techniques Highlights the trends in validation and value addition of herbal medicine with different scientific approaches used in therapeutics Contains several all-new chapters on topics such as traditional-medicine-inspired drug development to treat emerging viral diseases, medicinal plants in antimicrobial resistance, TLC bio profiling, botanicals as medicinal foods, bioprospecting and bioassay-guided isolation of medicinal plants, immunomodulators from medicinal plants, and more
Author : Anonim
Publisher : Academic Press
Page : 1571 pages
File Size : 49,5 Mb
Release : 2020-08-24
Category : Science
ISBN : 9780128160787
Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information
Author : Sanjeev Kumar Singh
Publisher : Springer Nature
Page : 334 pages
File Size : 54,7 Mb
Release : 2021-02-02
Category : Science
ISBN : 9789811589362
This book presents various computer-aided drug discovery methods for the design and development of ligand and structure-based drug molecules. A wide variety of computational approaches are now being used in various stages of drug discovery and development, as well as in clinical studies. Yet, despite the rapid advances in computer software and hardware, combined with the exponential growth in the available biological information, there are many challenges that still need to be addressed, as this book shows. In turn, it shares valuable insights into receptor-ligand interactions in connection with various biological functions and human diseases. The book discusses a wide range of phylogenetic methods and highlights the applications of Molecular Dynamics Simulation in the drug discovery process. It also explores the application of quantum mechanics in order to provide better accuracy when calculating protein-ligand binding interactions and predicting binding affinities. In closing, the book provides illustrative descriptions of major challenges associated with computer-aided drug discovery for the development of therapeutic drugs. Given its scope, it offers a valuable asset for life sciences researchers, medicinal chemists and bioinformaticians looking for the latest information on computer-aided methodologies for drug development, together with their applications in drug discovery.
Author : Bhushan Patwardhan,Gururaj Mutalik,Girish Tillu
Publisher : Academic Press
Page : 383 pages
File Size : 41,6 Mb
Release : 2015-03-31
Category : Technology & Engineering
ISBN : 9780128014349
Despite spectacular advances, modern medicine faces formidable global challenges in several key areas—notably the persistence of major killer diseases such as malaria, tuberculosis, leprosy, and newer threats including HIV/AIDS, resistant infections, and Ebola. As such, modern medicine has not led to a significant decrease in chronic diseases like diabetes, obesity, and other degenerative and autoimmune diseases. The authors believe that modern medicine needs to experience a paradigm shift, an integration of traditions—in particular from the ancient systems like Ayurveda and Yoga. Integrative Approaches for Health: Biomedical Research, Ayurveda and Yoga brings together the basic principles of interdisciplinary systems approach for an evolving construct of future medicine. Such an approach is already emerging at the cutting edge of current research in omics, bioinformatics, computational and systems biology. Several leading institutions of medicine have adopted Yoga and complementary medicine to widen their reach, and deepen effectiveness in therapeutic practices. The amalgam of modern medicine, with its strengths in scientific rigor, blended with the basic principles of life drawn from Ayurveda and Yoga might evolve into a medicine of tomorrow. Integrative approaches are no longer alternative, perhaps taking these approaches is the only possible way to heal our sick planet. This book introduces important trends and tools for biomedical researchers and physicians alike, to innovate the practice of medicine for the better. Contains a harmonious confluence of ancient and modern concepts, historical perspectives, philosophical underpinnings, and a relevant review of literature supported by worldwide case studies. Provides a critical analysis of ancient wisdom, pointing to potential areas for future research, which provide food for thought for public debate on integrative health care for the twenty-first century. Explains Ayurveda knowledge, and its relevance to drug discovery, nutrition, genomics, epigenetics, regenerative biology, longevity and personalized medicine. Shares Yoga knowledge insights, and explains its relevance to body–mind complex relationships, psychology, neurobiology, immunoendocrinology, bioenergetics, consciousness, and cognitive sciences. Offers illustrations and logic diagrams for enhanced understanding of the concepts presented.
Author : Michael Decker
Publisher : Elsevier
Page : 352 pages
File Size : 46,7 Mb
Release : 2017-04-05
Category : Science
ISBN : 9780081011188
Design of Hybrid Molecules for Drug Development reviews the principles, advantages, and limitations involved with designing these groundbreaking compounds. Beginning with an introduction to hybrid molecule design and background as to their need, the book goes on to explore a range of important hybrids, with hybrids containing natural products, molecules containing NO- and H2S-donors, dual-acting compounds acting as receptor ligands and enzyme inhibitors, and the design of photoresponsive drugs all discussed. Drawing on practical case studies, the hybridization of molecules for development as treatments for a number of key diseases is then outlined, including the design of hybrids for Alzheimer's, cancer, and malaria. With its cutting-edge reviews of breaking developments in this exciting field, the book offers a novel approach for all those working in the design, development, and administration of drugs for a range of debilitating disorders. Highlights an approach unimpaired by the limitations of the classical search for lead structures - one of the core problems in modern drug development processes, making the content of high relevance for both academic and non-academic drug development processes Pulls together research and design techniques in a novel way to give researchers the best possible platform from which to review the approaches and techniques applied Compares the advantages and disadvantages of these compounds Includes the very latest developments, such as photoactivatable and photo-responsive drugs
Author : Sarika Singh,Neeraj Joshi
Publisher : Springer
Page : 301 pages
File Size : 42,7 Mb
Release : 2018-09-24
Category : Medical
ISBN : 9789811309441
This book, written by a leading panel of experts in the field of neurosciences, provides a comprehensive overview of the pathology of neurodegenerative diseases as well as the preventive measures. Prevention is important due to the lack of early diagnostic markers and the limitations/ problems of treating neurodegenerative diseases
Author : Alexander Heifetz
Publisher : Unknown
Page : 529 pages
File Size : 55,7 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 1071617877
This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique, Artificial Intelligence in Drug Design is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists and drug designers.