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Computational Approaches In Drug Discovery Development And Systems Pharmacology
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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
Book Synopsis Physico-chemical and Computational Approaches to Drug Discovery by : Javier Luque
Download or read book Physico-chemical and Computational Approaches to Drug Discovery written by Javier Luque and published by Royal Society of Chemistry. This book was released on 2012 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title covers a wide range of topics relevant to the development of drugs. It provides a comprehensive description of the major methodological strategies available for rational drug discovery.
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.
Book Synopsis Bioinformatics and Computational Biology in Drug Discovery and Development by : William T. Loging
Download or read book Bioinformatics and Computational Biology in Drug Discovery and Development written by William T. Loging and published by Cambridge University Press. This book was released on 2016-03-17 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.
Book Synopsis Computational Drug Design by : D. C. Young
Download or read book Computational Drug Design written by D. C. Young and published by John Wiley & Sons. This book was released on 2009-01-28 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps you choose the right computational tools and techniques to meet your drug design goals Computational Drug Design covers all of the major computational drug design techniques in use today, focusing on the process that pharmaceutical chemists employ to design a new drug molecule. The discussions of which computational tools to use and when and how to use them are all based on typical pharmaceutical industry drug design processes. Following an introduction, the book is divided into three parts: Part One, The Drug Design Process, sets forth a variety of design processes suitable for a number of different drug development scenarios and drug targets. The author demonstrates how computational techniques are typically used during the design process, helping readers choose the best computational tools to meet their goals. Part Two, Computational Tools and Techniques, offers a series of chapters, each one dedicated to a single computational technique. Readers discover the strengths and weaknesses of each technique. Moreover, the book tabulates comparative accuracy studies, giving readers an unbiased comparison of all the available techniques. Part Three, Related Topics, addresses new, emerging, and complementary technologies, including bioinformatics, simulations at the cellular and organ level, synthesis route prediction, proteomics, and prodrug approaches. The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies. Computational Drug Design is ideal for both students and professionals in drug design, helping them choose and take full advantage of the best computational tools available. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Book Synopsis Computer-Aided Drug Design by : Dev Bukhsh Singh
Download or read book Computer-Aided Drug Design written by Dev Bukhsh Singh and published by Springer Nature. This book was released on 2020-10-09 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling. Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.
Book Synopsis The Organic Chemistry of Drug Design and Drug Action by : Richard B. Silverman
Download or read book The Organic Chemistry of Drug Design and Drug Action written by Richard B. Silverman and published by Elsevier. This book was released on 2012-12-02 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Standard medicinal chemistry courses and texts are organized by classes of drugs with an emphasis on descriptions of their biological and pharmacological effects. This book represents a new approach based on physical organic chemical principles and reaction mechanisms that allow the reader to extrapolate to many related classes of drug molecules. The Second Edition reflects the significant changes in the drug industry over the past decade, and includes chapter problems and other elements that make the book more useful for course instruction. - New edition includes new chapter problems and exercises to help students learn, plus extensive references and illustrations - Clearly presents an organic chemist's perspective of how drugs are designed and function, incorporating the extensive changes in the drug industry over the past ten years - Well-respected author has published over 200 articles, earned 21 patents, and invented a drug that is under consideration for commercialization
Book Synopsis Systems Biology in Drug Discovery and Development by : Qing Yan
Download or read book Systems Biology in Drug Discovery and Development written by Qing Yan and published by Humana Press. This book was released on 2010-09-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the failing “one-drug-fits-all” model, it has become increasingly necessary to develop personalized medicine that treats whole systems and brings the right drug to the right patient with the right dosages. In Systems Biology in Drug Discovery and Development: Methods and Protocols, leading experts provide a practical, state-of-the-art, and holistic view of the translation of systems biology into better drug discovery and personalized medical practice. While the first part of the book describes cutting-edge technologies and methods in the field, the second part illustrates how the technologies can be applied in science for disease understanding and therapeutic discovery. As a volume in the highly successful Methods in Molecular BiologyTM series, this collection provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and up-to-date, Systems Biology in Drug Discovery and Development: Methods and Protocols covers topics from fundamental concepts to advanced technologies in order to best serve biomedical students and professionals at all levels who are interested in vital integrative studies in molecular biology, genetics, bioinformatics, bioengineering, biochemistry, physiology, pathology, microbiology, immunology, pharmacology, toxicology, drug discovery, and clinical medicine.
Book Synopsis Developability of Biotherapeutics by : Sandeep Kumar
Download or read book Developability of Biotherapeutics written by Sandeep Kumar and published by CRC Press. This book was released on 2015-11-18 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biopharmaceuticals are emerging as frontline medicines to combat several life-threatening and chronic diseases. However, such medicines are expensive to develop and produce on a commercial scale, contributing to rising healthcare costs. Developability of Biotherapeutics: Computational Approaches describes applications of computational and molecular
Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown
Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Pharmaceutics by : Defang Ouyang
Download or read book Computational Pharmaceutics written by Defang Ouyang and published by John Wiley & Sons. This book was released on 2015-07-20 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular modeling techniques have been widely used in drug discovery fields for rational drug design and compound screening. Now these techniques are used to model or mimic the behavior of molecules, and help us study formulation at the molecular level. Computational pharmaceutics enables us to understand the mechanism of drug delivery, and to develop new drug delivery systems. The book discusses the modeling of different drug delivery systems, including cyclodextrins, solid dispersions, polymorphism prediction, dendrimer-based delivery systems, surfactant-based micelle, polymeric drug delivery systems, liposome, protein/peptide formulations, non-viral gene delivery systems, drug-protein binding, silica nanoparticles, carbon nanotube-based drug delivery systems, diamond nanoparticles and layered double hydroxides (LDHs) drug delivery systems. Although there are a number of existing books about rational drug design with molecular modeling techniques, these techniques still look mysterious and daunting for pharmaceutical scientists. This book fills the gap between pharmaceutics and molecular modeling, and presents a systematic and overall introduction to computational pharmaceutics. It covers all introductory, advanced and specialist levels. It provides a totally different perspective to pharmaceutical scientists, and will greatly facilitate the development of pharmaceutics. It also helps computational chemists to look for the important questions in the drug delivery field. This book is included in the Advances in Pharmaceutical Technology book series.
Book Synopsis Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences by : Navneet Sharma
Download or read book Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences written by Navneet Sharma and published by Academic Press. This book was released on 2021-05-21 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful. - Provides practical information on how to choose and use appropriate computational tools - Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format - Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics
Book Synopsis Polypharmacology in Drug Discovery by : Jens-Uwe Peters
Download or read book Polypharmacology in Drug Discovery written by Jens-Uwe Peters and published by John Wiley & Sons. This book was released on 2012-03-13 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Network Pharmacology written by Shao Li and published by Springer Nature. This book was released on 2021-09-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Drug Selectivity by : Norbert Handler
Download or read book Drug Selectivity written by Norbert Handler and published by John Wiley & Sons. This book was released on 2018-02-27 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Target Discovery and Validation by : Alleyn T. Plowright
Download or read book Target Discovery and Validation written by Alleyn T. Plowright and published by John Wiley & Sons. This book was released on 2020-02-18 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern drug developers? guide for making informed choices among the diverse target identification methods Target Discovery and Validation: Methods and Strategies for Drug Discovery offers a hands-on review of the modern technologies for drug target identification and validation. With contributions from noted industry and academic experts, the book addresses the most recent chemical, biological, and computational methods. Additionally, the book highlights techologies that are applicable to ?difficult? targets and drugs directed at multiple targets, including chemoproteomics, activity-based protein profiling, pathway mapping, genome-wide association studies, and array-based profiling. Throughout, the authors highlight a range of diverse approaches, and target validation studies reveal how these methods can support academic and drug discovery scientists in their target discovery and validation research. This resource: -Offers a guide to identifying and validating targets, a key enabling technology without which no new drug development is possible -Presents the information needed for choosing the appropriate assay method from the ever-growing range of available options -Provides practical examples from recent drug development projects, e. g. in kinase inhibitor profiling Written for medicinal chemists, pharmaceutical professionals, biochemists, biotechnology professionals, and pharmaceutical chemists, Target Discovery and Validation explores the current methods for the identification and validation of drug targets in one comrpehensive volume. It also includes numerous practical examples.
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.