Drug Discovery by Polypharmacology-based Interaction Profiling PDF Download
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Author: Simon Zoltán
Publisher:
ISBN:
Category :
Languages : en
Pages : 149
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Book Description
Author: Simon Zoltán
Publisher:
ISBN:
Category :
Languages : en
Pages : 149
Get Book Here
Book Description
Author: Jens-Uwe Peters
Publisher: John Wiley & Sons
ISBN: 1118098137
Category : Medical
Languages : en
Pages : 542
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Book Description
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: Nathan Brown
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
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Book Description
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: Jean-Paul Renaud
Publisher: John Wiley & Sons
ISBN: 1118900502
Category : Medical
Languages : en
Pages : 1367
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Book Description
With the most comprehensive and up-to-date overview of structure-based drug discovery covering both experimental and computational approaches, Structural Biology in Drug Discovery: Methods, Techniques, and Practices describes principles, methods, applications, and emerging paradigms of structural biology as a tool for more efficient drug development. Coverage includes successful examples, academic and industry insights, novel concepts, and advances in a rapidly evolving field. The combined chapters, by authors writing from the frontlines of structural biology and drug discovery, give readers a valuable reference and resource that: Presents the benefits, limitations, and potentiality of major techniques in the field such as X-ray crystallography, NMR, neutron crystallography, cryo-EM, mass spectrometry and other biophysical techniques, and computational structural biology Includes detailed chapters on druggability, allostery, complementary use of thermodynamic and kinetic information, and powerful approaches such as structural chemogenomics and fragment-based drug design Emphasizes the need for the in-depth biophysical characterization of protein targets as well as of therapeutic proteins, and for a thorough quality assessment of experimental structures Illustrates advances in the field of established therapeutic targets like kinases, serine proteinases, GPCRs, and epigenetic proteins, and of more challenging ones like protein-protein interactions and intrinsically disordered proteins
Author: Alleyn T. Plowright
Publisher: John Wiley & Sons
ISBN: 3527345299
Category : Medical
Languages : en
Pages : 396
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Book Description
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.
Author: Zhiguo Wang
Publisher: Springer Nature
ISBN: 3031049985
Category : Medical
Languages : en
Pages : 870
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Book Description
There is a growing interest in unmet needs for the development of a new discipline in drug discovery and in university education on polypharmacology. However, there has not been a book with the comprehensive compilation of basic knowledge and advanced methodology that is needed. This book aims to meet the needs making Polypharmacology a new sub-discipline of Pharmacology, not only being a hot area of pharmacological research and education but also a new paradigm for drug discovery. It contains the contents covering the entire scope of Polypharmacology including systemic in-depth exposition of basic knowledge, novel concepts, innovative technologies, and translational and clinical applications by showcasing state-of-the-art strategies and step-by-step instructions of cutting-edge methods. The contents of this book targets broad readerships including scientists in pharmacology research and drug development, and university teachers and graduates in medical school or school of pharmacy.
Author: Shao Li
Publisher: Springer Nature
ISBN: 9811607532
Category : Medical
Languages : en
Pages : 480
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Book Description
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: Bernhard Schölkopf
Publisher: MIT Press
ISBN: 9780262195096
Category : Computers
Languages : en
Pages : 428
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Book Description
A detailed overview of current research in kernel methods and their application to computational biology.
Author: Markus Müller
Publisher: Springer Science & Business Media
ISBN: 3709101441
Category : Medical
Languages : en
Pages : 438
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Book Description
Today we witness an eventful time in which the powerful new forces of genomics, information technology and economics are rapidly changing the science and art of medicine. This will require more specialization than ever before. However, there is also an increasing demand for an integrated approach, which is provided by the discipline of Clinical Pharmacology (CP). CP pursues a scientific goal by studying drug action in patients and volunteers, a clinical goal by administering appropriate drug therapy and a regulatory goal by assessing the risk/benefit ratio of drug candidates in drug development and reimbursement. This introduction to current topics of CP covers traditional topics of clinical drug research and trial methodology but also provides insight in current topics like genomics, imaging technology and issues in drug reimbursement. A number of concrete case studies in clinical drug research and development help to give a better understanding of the general principles of CP.
Author:
Publisher: Elsevier
ISBN: 0443223394
Category : Science
Languages : en
Pages : 408
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Book Description
New approach for drug repurposing represents drug discovery and development which is a tedious process that requires 10-15 years of time, investments up to $1-2 billion, and have high risk of failure to enter into market for clinical applications. As the drugs has to pass through number of developmental phase, the likelihood for a drug to be approved from phase I clinical trial to United States of Food and Drug Administration (USFDA) approval is less than 10%. More than 90% of drugs failed in due to toxicity, efficacy and clinical trials. Drug repurposing is one of the roadway to accelerating drug discovery and development for treating disease and thus to providing better quality of life. This volume covers an overview of drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, computational biology, system biology, artificial intelligence and machine learning for drug repurposing, target identification, target mining, high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration and intellectual property right of repurposed drug. This volume highlights a number of aspects of the drug repurposing that can help the basic understanding of students, researchers, clinicians, entrepreneurs, and stakeholders to perform their research with great interest. To offer drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, To offer computational biology, system biology, artificial intelligence and machine learning for drug repurposing, To offer high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration
