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A Practical Guide to Rational Drug Design

A PRACTICAL GUIDE TO RATIONAL DRUG DESIGN

by: Hongmao, Sun
Format: Hardcover

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Description

Product Description This book is not going to be an exhaustive survey covering all aspects of rational drug design. Instead, it is going to provide critical know-how through real-world examples. Relevant case studies will be presented and analyzed to illustrate the following: how to optimize a lead compound whether one has high or low levels of structural information; how to derive hits from competitors’ active compounds or from natural ligands of the targets; how to springboard from competitors’ SAR knowledge in lead optimization; how to design a ligand to interfere with protein-protein interactions by correctly examining the PPI interface; how to circumvent IP blockage using data mining; how to construct and fully utilize a knowledge-based molecular descriptor system; how to build a reliable QSAR model by focusing on data quality and proper selection of molecular descriptors and statistical approaches. A Practical Guide to Rational Drug Design focuses on computational drug design, with only basic coverage of biology and chemistry issues, such as assay design, target validation and synthetic routes. Review This book provides real-world examples of all aspects of rational drug design About the Author Dr. Sun received his BSc degree in chemistry and PhD degree in physics from University of Science and Technology of China (USTC). He was awarded his second PhD degree in medicinal and computational chemistry by Clark University and UMass Med School in 1997. Dr. Sun joined the faculty of Washington University Medical School at St. Louis in 1998. One and half years later, he became a computational scientist at Roche, where he spent over ten years to support dozens of rational drug design projects in such therapeutic areas as oncology, diabetes, obesity, virology, cardiovascular disease, etc. He is a well-recognized scholar in the field of drug discovery and ADMET predictions. His QSAR model ranked the first place in the Solubility Challenge. Dr. Sun and his colleagues also delivered the most accurate model in the GPCR homology modeling contest. Dr. Sun has published over 20 first and/or corresponding author peer-reviewed research papers, including 8 invited review articles covering different aspects of drug discovery. Dr. Sun was listed as Honorable Editor of three premium journals in the field of drug discovery and chemoinformatics.

Details

Product Code: 9780081000984
ISBN: 0081000987
Publisher: Woodhead Publishing
Publication Date: 2015-10-26
Number of Pages: 292 pages
Languages: english
Edition: 1
Dimension: 6.57 x 1.1 x 9.13 inches
Shipping Weight: 1.58 pounds