High Throughput Lead Optimization In Drug Discovery

A Single Source on Parallel Synthesis for Lead Optimization The end of the previous millennium saw an explosion in the application of parallel synthesis techniques for making compounds for high-throughput screening. Over time, it became clear that more thought in the design phase of library development is necessary to generate high qualit

High quality leads provide the foundation for the discovery of successful clinical development candidates, and therefore the identi?cation of leads is an essential part of drug discovery. The process for the identi?cation of leads generally starts with the screening of a compound collection, either an HTS of a relatively large compound collection (hundreds of thousands to one million plus compounds) or a more focused screen of a smaller set of compounds that have been preselected for the target of interest. Virtual screening methods such as structure-based or pharmacophore-based searches can complement or replace one of the above approaches. Once hits are identi?ed from one or more of these screening methods, they need to be thoroughly characterized in order to con?rm activity and identify areas in need of optimization. Finally, once fully characterized hits are identi?ed, preliminary optimization through synthetic modi?cation is carried out to generate leads. Parallel optimization of all properties, including biological, physicochemical, and ADME is the most ef?cient approach to the identi?cation of leads. Hit characterization is described in the previous chapter. The focus of this chapter is on hit optimization and the identi?- tion of leads. After a general overview of these processes, examples taken from the literature since 2001 will be used to illustrate speci?c points. There are also a number of excellent reviews covering the lead identi?cation process [1–6].

The drug discovery and development process is getting longer, more expensive, and no better. The industry suffers from the same clinical attrition and safety-related market withdrawal rates today as it did 20 years ago. Industrialization of Drug Discovery: From Target Selection Through Lead Optimization scrutinizes these problems in detail, contrasting the promise of technology and industrialization with the challenges of using the tools available to their best advantage. The book explores early successes, examines the current state of the art, and provides a strategic analysis of the issues currently facing drug discovery. Introducing the historical background and current status of the industry, the book delineates the basic tenets underlying modern drug discovery, how they have evolved, and their use in various approaches and strategies. It examines, in detail, the regulations, requirements, guidelines, and draft documents that guide so many FDA actions. The editor devotes the remainder of the discussion to industrialization, compound and knowledge management functions, the drug screening process, collaboration, and finally, ethical issues. Drawing on real-life, from-the-trenches examples, the book elucidates a new approach to drug discovery and development. This modern-day, back-to-basics approach includes three steps: understand the science, unravel the story, and then intelligently apply the technology, bringing to bear the entire armamentarium of industrialization techniques, not just automation, to the discovery process. Using these steps, you can meet the goals of more specific targets, more selective compounds, and decreased cycle times. In effect, you can look for a bigger needle in a smaller haystack. Daniel E. Levy, editor of the Drug Discovery Series, is the founder of DEL BioPharma, a consulting service for drug discovery programs. He also maintains a blog that explores organic chemistry.

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.

In this comprehensive two-volume resource on the topic senior lead generation medicinal chemists present a coherent view of the current methods and strategies in industrial and academic lead generation. This is the first book to combine both standard and innovative approaches in comparable breadth and depth, including several recent successful lead generation case studies published here for the first time. Beginning with a general discussion of the underlying principles and strategies, individual lead generation approaches are described in detail, highlighting their strengths and weaknesses, along with all relevant bordering disciplines like e.g. target identification and validation, predictive methods, molecular recognition or lead quality matrices. Novel lead generation approaches for challenging targets like DNA-encoded library screening or chemical biology approaches are treated here side by side with established methods as high throughput and affinity screening, knowledge- or fragment-based lead generation, and collaborative approaches. Within the entire book, a very strong focus is given to highlight the application of the presented methods, so that the reader will be able to learn from real life examples. The final part of the book presents several lead generation case studies taken from different therapeutic fields, including diabetes, cardiovascular and respiratory diseases, neuroscience, infection and tropical diseases. The result is a prime knowledge resource for medicinal chemists and for every scientist involved in lead generation.

This volume focuses on how to increase the efficiency of drug discovery and development. It is written by experienced discovery scientists from diverse disciplines, including chemistry, drug metabolism, and development sciences. The volume details in silico, in vitro, and in vivo tools for prediction, measurement, and application of compound properties to select and improve potential drug candidates.

An integrated overview of modern approaches to lead discovery Lead generation is increasingly seen as a distinct and success-determining phase of the drug discovery process. Over recent years, there have been major advances in the understanding of what constitutes a good lead compound and how to improve the chances of finding such a compound. Written by leading scientists and established opinion leaders from industry and academia, this book provides an authoritative overview of the field, as well as the theory, practice, and scope, of the principal Lead Generation Approaches in Drug Discovery, including: The evolution of the lead discovery process, key concepts, current challenges, and future directions Strategies and technologies driving the high-throughput screening (HTS) approach to lead discovery, including the shifting paradigms in the design of compound collections and best practice in the hit confirmation process Knowledge-based in silico or "virtual" screening Theory and practice of the fragment-based approach to lead discovery The opportunities and challenges presented by multi-target drug discovery (MTDD) De novo design of lead compounds and new approaches to estimating the synthetic accessibility of de novo–designed molecules The impact of natural products on drug discovery, and potential of natural product–like compounds for exploring regions of biologically relevant chemical space Using early screening of hits and leads for metabolic, pharmacokinetic, and toxicological liabilities to reduce attrition during the later phases of drug discovery The utility of parallel synthesis and purification in lead discovery With each topic supported by numerous case studies, this is indispensable reading for researchers in industry and academia who wish to keep up to date with the latest strategies and approaches in drug discovery.

This book arises from a workshop organized by the American Association of Pharmaceutical Scientists entitled "Optimizing the Drug-Like Properties of Leads in Drug Discovery," which took place in Parsippany, NJ in September 2004. The workshop focused on the optimization of the drug-like properties of leads in drug discovery. The volume outlines strategies and methodologies designed to guide pharmaceutical and biotechnology companies through the drug discovery and development process.