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. Ed(S): Yan, Zhengyin; Caldwell, Gary - Optimization in Drug Discovery - 9781588293329 - V9781588293329
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Optimization in Drug Discovery

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Description for Optimization in Drug Discovery hardcover. Describes experimental protocols for the in vitro evaluation of New Chemical Entities (NCE). This title features assays measuring parameters including physicochemical properties, adsorption, plasma binding, metabolism, drug interactions, and toxicity. Editor(s): Yan, Zhengyin; Caldwell, Gary. Series: Methods in Pharmacology and Toxicology. Num Pages: 436 pages, biography. BIC Classification: MMG; TDCW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 23. Weight in Grams: 785.
Recent analyses of drug attrition rates reveal that a significant number of drug candidates fail in the later stage of clinical development owing to absorption, distribution, metabolism, elimination (ADME), and toxicity issues. Lead optimization in drug discovery, a process attempting to uncover and correct these defects of drug candidates, is highly beneficial in lowering the cost and time to develop therapeutic drugs by reducing drug candidate failures in development. At present, parallel synthesis combining with high-throughput screening has made it easier to generate highly potent compounds (i. e. , hits). However, to be a potential drug, a hit must have ... Read more

Product Details

Format
Hardback
Publication date
2004
Publisher
Humana Press Inc. United States
Number of pages
436
Condition
New
Series
Methods in Pharmacology and Toxicology
Number of Pages
420
Place of Publication
Totowa, NJ, United States
ISBN
9781588293329
SKU
V9781588293329
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Optimization in Drug Discovery
"This book covers most of the currently used techniques in lead optimization with respect to ADME and safety profiles. . .would be very useful addition to the library of any drug scientist interested in an introduction to these important methods. Each chapter treats its topic in a concise manner and provides ample references to lead the reader to more ... Read more

Goodreads reviews for Optimization in Drug Discovery


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