Author: Antoine Daina
Publisher: John Wiley & Sons
ISBN: 3527348395
Category : Medical
Languages : en
Pages : 357
Get Book Here
Book Description
Open Access Databases and Datasets for Drug Discovery Timely resource discussing the future of data-driven drug discovery and the growing number of open-source databases With an overview of 90 freely accessible databases and datasets on all aspects of drug design, development, and discovery, Open Access Databases and Datasets for Drug Discovery is a comprehensive guide to the vast amount of “free data” available to today’s pharmaceutical researchers. The applicability of open-source data for drug discovery and development is analyzed, and their usefulness in comparison with commercially available tools is evaluated. The most relevant databases for small molecules, drugs and druglike substances, ligand design, protein 3D structures (both experimental and calculated), and human drug targets are described in depth, including practical examples of how to access and work with the data. The first part is focused on databases for small molecules, followed by databases for macromolecular targets and diseases. The final part shows how to integrate various open-source tools into the academic and industrial drug discovery and development process. Contributed to and edited by experts with long-time experience in the field, Open Access Databases and Datasets for Drug Discovery includes information on: An extensive listing of open access databases and datasets for computer-aided drug design PubChem as a chemical database for drug discovery, DrugBank Online, and bioisosteric replacement for drug discovery supported by the SwissBioisostere database The Protein Data Bank (PDB) and macromolecular structure data supporting computer-aided drug design, and the SWISS-MODEL repository of 3D protein structures and models PDB-REDO in computational aided drug design (CADD), and using Pharos/TCRD for discovering druggable targets Unmatched in scope and thoroughly reviewing small and large open data sources relevant for rational drug design, Open Access Databases and Datasets for Drug Discovery is an essential reference for medicinal and pharmaceutical chemists, and any scientists involved in the drug discovery and drug development.
Author: Bin Yu
Publisher: Elsevier
ISBN: 0443239339
Category : Business & Economics
Languages : en
Pages : 1243
Get Book Here
Book Description
Drug Discovery Stories: From Bench to Bedside presents a collection of cases on the development of highly successful pharmaceuticals. It delves into the realm of drug discovery, exploring the structural biology and biological functions of the sought-after targets. The book covers the identification of promising compounds, their transformation from hits to leads through meticulous optimization, and the elucidation of how key compounds interact with the target (in essence, providing invaluable insights for drug design). Additionally, it covers essential information such as the pivotal biological and PK data of lead compounds, any noteworthy clinical results, and a comprehensive overview of other candidate compounds. The field of drug discovery and development has experienced rapid evolution, with numerous new drugs receiving approval each year. While several books have been published on this subject, there is a pressing need for a new book series that accurately reflects the current advancements in drug discovery. This book aims to not only cater to the drug discovery community but also engage other communities involved in chemical biology, synthetic chemistry, and pharmacology. - Analyzes the drug discovery stories of different blockbuster drugs - Includes the newly approved drugs - Covers key aspects related to the drug development of the drugs
Author: Adriano D. Andricopulo
Publisher: Frontiers Media SA
ISBN: 2889457443
Category :
Languages : en
Pages : 415
Get Book Here
Book Description
Chemoinformatics is paramount to current drug discovery. Structure- and ligand-based drug design strategies have been used to uncover hidden patterns in large amounts of data, and to disclose the molecular aspects underlying ligand-receptor interactions. This Research Topic aims to share with a broad audience the most recent trends in the use of chemoinformatics in drug design. To that end, experts in all areas of drug discovery have made their knowledge available through a series of articles that report state-of-the-art approaches. Readers are provided with outstanding contributions focusing on a wide variety of topics which will be of great value to those interested in the many different and exciting facets of drug design.
Author: Tripathi, Rati Kailash Prasad
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 337
Get Book Here
Book Description
The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Author: Nathan Brown
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
Get Book Here
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: Pooja A. Chawla
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111207595
Category : Science
Languages : en
Pages : 543
Get Book Here
Book Description
Computational methods and understanding computational models are important in modern drug discovery. The book focuses on computational approaches that can improve the development of in silico methodologies. It includes lead hit methods, docking algorithms, computational chiral compounds, structure-based drug design, GROMACS and NAMD, structural genomics, toxicity prediction, enzyme inhibitors and peptidomimetic therapeutics
Author: Vijay Pandiarajan
Publisher: Routledge
ISBN: 1000538249
Category : Business & Economics
Languages : en
Pages : 356
Get Book Here
Book Description
This book provides an understanding of innovation models and why they are important in the business context, and considers sources of innovation and how to apply business frameworks using real-world examples of innovation-led businesses. After providing a solid background to the key concepts related to innovation models, the book looks at why innovation takes place and where the sources of innovation lie, from corporate research to crowd-sourced and government-funded initiatives. Innovation models across manufacturing, services and government are explored, as well as measuring innovation, and the impact of design thinking and lean enterprise principles on innovation and sustainability-driven imperatives. Offering a truly comprehensive and global approach, Business Innovation should be core or recommended reading for advanced undergraduate, postgraduate, MBA and Executive Education students studying Innovation Management, Strategic Management and Entrepreneurship.
Author: Taylor & Francis Group
Publisher: CRC Press
ISBN: 9781584883531
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: George G. Nomikos
Publisher: Academic Press
ISBN: 0128031646
Category : Medical
Languages : en
Pages : 460
Get Book Here
Book Description
Translational Medicine in CNS Drug Development, Volume 29, is the first book of its kind to offer a comprehensive overview of the latest developments in translational medicine and biomarker techniques. With extensive coverage on all aspects of biomarkers and personalized medicine, and numerous chapters devoted to the best strategies for developing drugs that target specific disorders, this book presents an essential reference for researchers in neuroscience and pharmacology who need the most up-to-date techniques for the successful development of drugs to treat central nervous system disorders. Despite increases in the number of individuals suffering from CNS-related disorders, the development and approval of drugs for their treatment have been hampered by inefficiencies in advancing compounds from preclinical discovery to the clinic. However, in the past decades, game-changing strides have been made in our understanding of the pathophysiology of CNS disorders and the relationship of drug exposure in plasma and CNS to pharmacodynamic measures in both animals and humans. - Includes comprehensive coverage of biomarker tools and the role of personalized medicine in CNS drug development - Discusses strategies for drug development for a full range of CNS indications, with particular attention to neuropsychiatric and neurocognitive disorders - Includes chapters written by international experts from industry and academia
Author: Mithun Rudrapal
Publisher: Frontiers Media SA
ISBN: 2832512623
Category : Science
Languages : en
Pages : 170
Get Book Here
Book Description
