Khulna University of Engineering & Technology
Central Library

Normal view MARC view ISBD view

Predictive ADMET : integrative approaches in drug discovery and development / edited by Jianling Wang, Laszlo Urban.

Contributor(s): Wang, Jianling, 1958- [editor.] | Urban, Laszlo, 1951- [editor.].
Material type: materialTypeLabelBookPublisher: Hoboken, New Jersey : Wiley, [2014]Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118783405; 1118783409; 9781118783306; 1118783301; 9781118783269; 1118783263; 9781118783344; 1118783344; 1118299922; 9781118299920.Subject(s): Drug development -- Methodology | Drug Discovery -- methods | Pharmacokinetics | MEDICAL -- PharmacologyGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Predictive ADMET.DDC classification: 615.1/9 Online resources: Wiley Online Library Summary: "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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.


Khulna University of Engineering & Technology
Funded by: HEQEP, UGC, Bangladesh