target validation in drug discovery

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Target Validation in Drug Discovery
Author :
Publisher : Elsevier
Release Date :
ISBN 10 : 9780080465975
Pages : 296 pages
Rating : 3/5 (1 users)
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This work presents a comprehensive contemporary framework for approaching target validation in drug discovery. It begins with a detailed description of new enabling technologies, including aptamers, RNA interference, functional genomics, and proteomics. The next section looks at biologic drug development with in-depth discussion of lessons learned from such well-known cases as Erbitux, Herceptin, and Avastin. Additional targets known as "second generation" drugs, which can be identified when disease pathways are validated by biologics, present new possible small molecule therapeutics and serve as the focus of the final section of the book.

Target Validation in Drug Discovery

This work presents a comprehensive contemporary framework for approaching target validation in drug discovery. It begins with a detailed description of new enabling technologies, including aptamers, RNA interference, functional genomics, and proteomics. The next section looks at biologic drug development with in-depth discussion of lessons learned from such well-known cases

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Target Identification and Validation in Drug Discovery

This second edition book explores breakthrough technologies in the field of drug target identification and validation. The volume emphasizes particularly revolutionary technologies, such as CRISPR-related screening, “big data,” and in silico approaches, as well as in vivo applications of CRISPR and best uses of animal models in drug development. Written

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Improving and Accelerating Therapeutic Development for Nervous System Disorders

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

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Target Discovery and Validation

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

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Target Identification and Validation in Drug Discovery

This Methods in Molecular Biology book details current procedures for identifying and validating new drug targets. Includes methods and approaches covering biochemical, cell based, in vivo models and translational methods, as well as relevant case reports."

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Target Discovery and Validation

Annotation These volumes review the most current methods for drug target discovery and validation. They explore how recent improvement in understanding the molecular mechanisms of human pathology is impacting drug target discovery in the laboratory and in real therapeutics, specifically for cancers and autoimmune disorders. This book provides a thorough

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In Silico Technologies in Drug Target Identification and Validation

The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Identification and Validation

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Target Discovery and Validation Reviews and Protocols

Target discovery is a field that has existed for several years but is so vibrant today because of the recent progress in our understanding of the molecular mechanisms of many human diseases and the technical advances in target identification and validation. More sophisticated gene profiling technologies, such as DNA microarrays

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Neurobiology of Huntington   s Disease

In 1993, the genetic mutation responsible for Huntington’s disease (HD) was identified. Considered a milestone in human genomics, this discovery has led to nearly two decades of remarkable progress that has greatly increased our knowledge of HD, and documented an unexpectedly large and diverse range of biochemical and genetic perturbations

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Phenotypic Drug Discovery

Phenotypic drug discovery has been highlighted in the past decade as an important strategy in the discovery of new medical entities. How many marketed drugs are derived from phenotypic screens? From the most recent examples, what were the factors enabling target identification and validation? This book answers these questions by

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Anti fibrotic Drug Discovery

Fibrosis is a condition with globally high unmet medical need, and as such is a highly active area of academic and pharmaceutical research covering multiple treatment targets, organs, tissues and therapeutic approaches. Anti-fibrotic Drug Discovery is a single source reference for the latest drug-discovery approaches to tackle fibrosis in various

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Platform Technologies in Drug Discovery and Validation

Platform Technologies in Drug Discovery and Validation, Volume 50, the latest release in the Annual Reports in Medicinal Chemistry series, provides timely and critical reviews of important topics in medicinal chemistry, with an emphasis on emerging topics in the biological sciences. Topics covered in this new volume include DELT, Oligos: ASO,

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Protein Degradation with New Chemical Modalities

Targeting protein degradation using small molecules is one of the most exciting small-molecule therapeutic strategies in decades and a rapidly growing area of research. In particular, the development of proteolysis targeting chimera (PROTACs) as potential drugs capable of recruiting target proteins to the cellular quality control machinery for elimination has

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The Era of Artificial Intelligence  Machine Learning  and Data Science in the Pharmaceutical Industry

The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment

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Artificial Neural Network for Drug Design  Delivery and Disposition

Artificial Neural Network for Drug Design, Delivery and Disposition provides an in-depth look at the use of artificial neural networks (ANN) in pharmaceutical research. With its ability to learn and self-correct in a highly complex environment, this predictive tool has tremendous potential to help researchers more effectively design, develop, and

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