Lhasa Limited shared knowledge shared progress
Publications
  • Publisher:
    Elsevier
  • Publication Date:
    Nov 2012
  • Reference:
    Drug Discovery Today: Technologies, 2013, 10(1), pp147-153
  • DOI:
    10.1016/j.ddtec.2012.10.006
  • PMID:
  • Publication Type:
    Paper
  • Related Products:
  • Scientific Area:
  • Endpoint:
  • Industry Type:
  • Related event:

Drug metabolism in silico – the knowledge-based expert system approach. Historical perspectives and current strategies

Long A;

Drug metabolism in silico is briefly discussed in terms of the importance of understanding the mechanistic basis of drug molecule biotransformation in vivo and its consequences in terms of changes in the properties of metabolites relative to those of the parent compound. A basic overview of an expert system is presented and how these general principles apply to expert systems for the prediction of xenobiotic metabolism. A brief history of the development of these systems is also presented. Methods for increasing both the sensitivity and selectivity of prediction is outlined and the benefits of using complementary prediction systems in a conjoint manner is proposed.

Visit site

© 2018 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

Thanks to QuestionPro's generosity, we now have survey software that powers our data intelligence.