03009cam a2200685 i 4500 ocn858975739 OCoLC 20171106082111.0 m o d cr ||||||||||| 130925s2014 nju ob 001 0 eng 2013039200 9781118783405 (epub) 1118783409 (epub) 9781118783306 (pdf) 1118783301 (pdf) 9781118783269 (mobi) 1118783263 (mobi) 9781118783344 (electronic bk.) 1118783344 (electronic bk.) 1118299922 9781118299920 9781118299920 (cloth) AU@ 000052005530 CHBIS 010442023 CHVBK 334088399 DEBBG BV042793557 NZ1 15497415 NZ1 15920427 NZ1 16097682 DEBBG BV043396241 (OCoLC)858975739 (OCoLC)960201030 (OCoLC)961666473 (OCoLC)962726319 DLC eng rda pn DLC YDX DG1 E7B N$T CUS YDXCP NLGGC OCLCO COO OCLCQ OCLCO DEBBG LOA pcc MAIN RM301.25 QV 745 MED 071000 bisacsh 615.1/9 23 Predictive ADMET : integrative approaches in drug discovery and development / edited by Jianling Wang, Laszlo Urban. [electronic resource] Hoboken, New Jersey : Wiley, [2014] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. "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. Print version record and CIP data provided by publisher. Drug development Methodology. Drug Discovery methods. Pharmacokinetics. MEDICAL Pharmacology. bisacsh Electronic books. Electronic books. Wang, Jianling, 1958- editor. Urban, Laszlo, 1951- editor. Print version: Predictive ADMET. Hoboken, New Jersey : Wiley, [2014] 9781118299920 (DLC) 2013038054 http://onlinelibrary.wiley.com/book/10.1002/9781118783344 Wiley Online Library ddc BK 207003 207003