000 02208cam a22002895a 4500
999 _c26919
_d26891
001 017472678
003 Uk
005 20181031123521.0
008 150717s2016 enka frb 001 0 eng d
015 _aGBB5A6276
_2bnb
020 _z9780081000984 (hbk.)
040 _aStDuBDS
_beng
_cStDuBDS
_dUk
_dEG-ScBUE
082 0 4 _a615.19
_bHON
_222
100 1 _aHongmao, Sun.
_941857
245 1 2 _aA practical guide to rational drug design /
_cSun Hongmao.
260 _aCambridge ;
_aWaltham, MA :
_bWoodhead Publishing / Elsevier,
_cc.2016.
300 _a275 p. :
_bill. (col.) ;
_c24 cm.
490 0 _aWoodhead Publishing series in biomedicine ;
_vno. 81
505 0 _tPART I Rational Drug Design 1. Structure of the target is available 2. Structure of the target is unavailable 3. Virtual screening (VS)
_tPART II Chemoinformatics 1. QSAR modeling 2. Processing HTS results 3. Delivering modeling results
520 _aThis 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.
650 7 _aDrugs
_xDesign.
_2BUEsh
_930136
651 _2BUEsh
653 _bPPhrm
_bGGEN
_cOctober2018
655 _vReading book
776 0 8 _iPrint version:
_z9780081000984
942 _2ddc