000 | 03009cam a2200685 i 4500 | ||
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001 | ocn858975739 | ||
003 | OCoLC | ||
005 | 20171106082111.0 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 130925s2014 nju ob 001 0 eng | ||
010 | _a 2013039200 | ||
020 |
_a9781118783405 _q(epub) |
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020 |
_a1118783409 _q(epub) |
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020 |
_a9781118783306 _q(pdf) |
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020 |
_a1118783301 _q(pdf) |
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020 |
_a9781118783269 _q(mobi) |
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020 |
_a1118783263 _q(mobi) |
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020 |
_a9781118783344 _q(electronic bk.) |
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020 |
_a1118783344 _q(electronic bk.) |
||
020 | _a1118299922 | ||
020 | _a9781118299920 | ||
020 |
_z9781118299920 _q(cloth) |
||
029 | 1 |
_aAU@ _b000052005530 |
|
029 | 1 |
_aCHBIS _b010442023 |
|
029 | 1 |
_aCHVBK _b334088399 |
|
029 | 1 |
_aDEBBG _bBV042793557 |
|
029 | 1 |
_aNZ1 _b15497415 |
|
029 | 1 |
_aNZ1 _b15920427 |
|
029 | 1 |
_aNZ1 _b16097682 |
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029 | 1 |
_aDEBBG _bBV043396241 |
|
035 |
_a(OCoLC)858975739 _z(OCoLC)960201030 _z(OCoLC)961666473 _z(OCoLC)962726319 |
||
040 |
_aDLC _beng _erda _epn _cDLC _dYDX _dDG1 _dE7B _dN$T _dCUS _dYDXCP _dNLGGC _dOCLCO _dCOO _dOCLCQ _dOCLCO _dDEBBG _dLOA |
||
042 | _apcc | ||
049 | _aMAIN | ||
050 | 0 | 0 | _aRM301.25 |
060 | 1 | 0 | _aQV 745 |
072 | 7 |
_aMED _x071000 _2bisacsh |
|
082 | 0 | 0 |
_a615.1/9 _223 |
245 | 0 | 0 |
_aPredictive ADMET : integrative approaches in drug discovery and development / _cedited by Jianling Wang, Laszlo Urban. _h[electronic resource] |
264 | 1 |
_aHoboken, New Jersey : _bWiley, _c[2014] |
|
300 | _a1 online resource. | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _a"By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs. Featuring case studies and lessons learned from real drug discovery and development, the text: helps users diagnose ADMET problems; presents appropriate recommendations; introduces the current clinical practice for drug discovery and development; and consolidates the tools and models to intelligently integrate existing in silico, in vitro and in vivo ADMET data"--Provided by publisher. | ||
588 | 0 | _aPrint version record and CIP data provided by publisher. | |
650 | 0 |
_aDrug development _xMethodology. |
|
650 | 2 |
_aDrug Discovery _xmethods. |
|
650 | 2 | _aPharmacokinetics. | |
650 | 7 |
_aMEDICAL _xPharmacology. _2bisacsh |
|
655 | 4 | _aElectronic books. | |
655 | 0 | _aElectronic books. | |
700 | 1 |
_aWang, Jianling, _d1958- _eeditor. |
|
700 | 1 |
_aUrban, Laszlo, _d1951- _eeditor. |
|
776 | 0 | 8 |
_iPrint version: _tPredictive ADMET. _dHoboken, New Jersey : Wiley, [2014] _z9781118299920 _w(DLC) 2013038054 |
856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118783344 _zWiley Online Library |
942 |
_2ddc _cBK |
||
999 |
_c207003 _d207003 |