Literature DB >> 16859403

Structure-based methods for the prediction of drug metabolism.

Judith C Madden1, Mark T D Cronin.   

Abstract

There is a tantalising possibility that we may be able to predict the metabolism of a drug directly from its structure, thus obviating the requirement for animal tests in this area. There are a number of techniques that can be used to estimate a range of events associated with metabolism, and may allow us to achieve this aim. This paper considers the role of (quantitative) structure-activity relationships, and pharmacophore and homology modelling in the prediction of metabolism. Examples are also presented where such approaches have been formalised into expert systems. Clearly, many advances have been made in this area in recent years. Discussed herein is the importance of fully integrating the diverse systems and approaches available to fulfil the aspiration to predict metabolism directly from structure.

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Year:  2006        PMID: 16859403     DOI: 10.1517/17425255.2.4.545

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  6 in total

Review 1.  Role of biotransformation studies in minimizing metabolism-related liabilities in drug discovery.

Authors:  Yue-Zhong Shu; Benjamin M Johnson; Tian J Yang
Journal:  AAPS J       Date:  2008-03-13       Impact factor: 4.009

Review 2.  Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction.

Authors:  Haiyan Li; Jin Sun; Xiaowen Fan; Xiaofan Sui; Lan Zhang; Yongjun Wang; Zhonggui He
Journal:  J Comput Aided Mol Des       Date:  2008-06-24       Impact factor: 3.686

3.  Computational tools and resources for metabolism-related property predictions. 1. Overview of publicly available (free and commercial) databases and software.

Authors:  Megan L Peach; Alexey V Zakharov; Ruifeng Liu; Angelo Pugliese; Gregory Tawa; Anders Wallqvist; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2012-10       Impact factor: 3.808

4.  Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology.

Authors:  Costanza Rovida; Tara Barton-Maclaren; Emilio Benfenati; Francesca Caloni; P. Charukeshi Chandrasekera; Christophe Chesné; Mark T D Cronin; Joop De Knecht; Daniel R Dietrich; Sylvia E Escher; Suzanne Fitzpatrick; Brenna Flannery; Matthias Herzler; Susanne Hougaard Bennekou; Bruno Hubesch; Hennicke Kamp; Jaffar Kisitu; Nicole Kleinstreuer; Simona Kovarich; Marcel Leist; Alexandra Maertens; Kerry Nugent; Giorgia Pallocca; Manuel Pastor; Grace Patlewicz; Manuela Pavan; Octavio Presgrave; Lena Smirnova; Michael Schwarz; Takashi Yamada; Thomas Hartung
Journal:  ALTEX       Date:  2020-04-30       Impact factor: 6.250

5.  Structure-activity models of oral clearance, cytotoxicity, and LD50: a screen for promising anticancer compounds.

Authors:  John C Boik; Robert A Newman
Journal:  BMC Pharmacol       Date:  2008-06-13

6.  Transient overexpression of adh8a increases allyl alcohol toxicity in zebrafish embryos.

Authors:  Nils Klüver; Julia Ortmann; Heidrun Paschke; Patrick Renner; Axel P Ritter; Stefan Scholz
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

  6 in total

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