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   <subfield code="a">A practical guide to rational drug design</subfield>
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   <subfield code="c">Sun Hongmao</subfield>
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   <subfield code="a">Amsterdam</subfield>
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   <subfield code="b">Elsevier/Woodhead Publishing</subfield>
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   <subfield code="c">2016</subfield>
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   <subfield code="a">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.</subfield>
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   <subfield code="a">Thiết kế thuốc,Drug design</subfield>
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   <subfield code="b">nthai</subfield>
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   <subfield code="a">Trung tâm Học liệu Trường Đại học Cần Thơ</subfield>
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