A Feasibility Analysis for a Drug Discovery and High-throughput Screening Service Provider Company PDF Download

Author: Katherine E. Rojahn
Publisher:
ISBN:
Category :
Languages : en
Pages : 184

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Author: Jörg Hüser
Publisher: John Wiley & Sons
ISBN: 3527609369
Category : Science
Languages : en
Pages : 362

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Book Description
Backed by leading authorities, this is a professional guide to successful compound screening in pharmaceutical research and chemical biology, including the chemoinformatic tools needed for correct data evaluation. Chapter authors from leading pharmaceutical companies as well as from Harvard University discuss such factors as chemical genetics, binding, cell-based and biochemical assays, the efficient use of compound libraries and data mining using cell-based assay results. For both academics and professionals in the pharma and biotech industries working on small molecule screening.

Author: Shailendra K. Saxena
Publisher: BoD – Books on Demand
ISBN: 1839629479
Category : Medical
Languages : en
Pages : 130

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Book Description
The book focuses on various aspects and properties of high-throughput screening (HTS), which is of great importance in the development of novel drugs to treat communicable and non-communicable diseases. Chapters in this volume discuss HTS methodologies, resources, and technologies and highlight the significance of HTS in personalized and precision medicine.

Author: Taosheng Chen
Publisher: CRC Press
ISBN: 1420070517
Category : Medical
Languages : en
Pages : 291

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Book Description
The development of suitable assays, the integration of appropriate technology, and the effective management of the essential infrastructure are all critical to the success of any high-throughput screening (HTS) endeavor. However, few scientists have the multidisciplinary experience needed to control all aspects of an HTS drug discovery project. A P

Author: Joshua A. Bittker
Publisher: Royal Society of Chemistry
ISBN: 1782624716
Category : Medical
Languages : en
Pages : 416

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Book Description
High throughput screening remains a key part of early stage drug and tool compound discovery, and methods and technologies have seen many fundamental improvements and innovations over the past 20 years. This comprehensive book provides a historical survey of the field up to the current state-of-the-art. In addition to the specific methods, this book also considers cultural and organizational questions that represent opportunities for future success. Following thought-provoking foreword and introduction from Professor Stuart Schreiber and the editors, chapters from leading experts across academia and industry cover initial considerations for screening, methods appropriate for different goals in small molecule discovery, newer technologies that provide alternative approaches to traditional miniaturization procedures, and practical aspects such as cost and resourcing. Within the context of their historical development, authors explain common pitfalls and their solutions. This book will serve as both a practical reference and a thoughtful guide to the philosophy underlying technological change in such a fast-moving area for postgraduates and researchers in academia and industry, particularly in the areas of chemical biology, pharmacology, structural biology and assay development.

Author: Amancio Carnero
Publisher: CRC Press
ISBN: 9781498708029
Category :
Languages : en
Pages :

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Book Description
Drug discovery is a highly complex and multidisciplinary process. High throughput screening (HTS) uses the technologies of automation to collect a large amount of experimental data in a relatively short time. This book presents a comprehensive view of the HTS process for drug discovery, with its benefits and pitfalls, advantages, and problems. It provides an overview of different platforms and examples of successful applications of HTS in drug discovery using different technologies applied to each specific project.

Author: Royal Society of Chemistry
Publisher:
ISBN: 9781849731348
Category : Science
Languages : en
Pages : 288

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Book Description
This book is one of a three-volume set that provides theoretical, practical and troubleshooting guidelines on all aspects of the pre-clinical Drug Discovery process. There is particular focus on the design, development and role of screening assays in Drug Discovery, including new developments and future trends, the main assay types utilized in screening campaigns, and the methods utilized in enabling the progression of ""Hits"" to ""Leads"" and ""Candidates"" The books will also fill current gaps in the literature such as primary, stem cell and other novel assay methods. Other relatively new research areas included are siRNA, high content screening, protein-protein interactions, pathway assays, non micro-titre plate based assays, label free assays, IT tools, approaches to identify biopharmaceuticals, emerging models and future trends in Drug Discovery.

Author: Sanjeev Kumar Singh
Publisher: Springer Nature
ISBN: 9811589364
Category : Science
Languages : en
Pages : 334

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Book Description
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: 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: Amalia Stefaniu
Publisher:
ISBN: 9781838800680
Category :
Languages : en
Pages : 190

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Book Description
Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowledge, connecting related fields such as chemistry, computer science, biology, pharmacology, physics, and mathematical statistics.The book is organized in two sections, including multiple aspects related to advances in the development of informatic tools and their specific use in compound structure databases with various applications in life sciences, mainly in medicinal chemistry, for identification and development of new therapeutically active molecules. The book covers aspects related to genomic analysis, semantic similarity, chemometrics, pattern recognition techniques, chemical reactivity prediction, drug-likeness assessment, bioavailability, biological target recognition, machine-based drug discovery and design. Results from various computational tools and methods are discussed in the context of new compound design and development, sharing promising opportunities, and perspectives.