Abstract:
:In silico ADMET (absorption, distribution, metabolism, excretion, and toxicity) models are important tools in combating late-stage attrition in the drug discovery process. This work shows how ADMET models can be combined to tailor predictions depending on one's needs. We demonstrate how the judicious use of data and considered combination of predictions can produce models that provide truly useful answers. This approach is illustrated with the prediction of hERG channel blocking and cytochrome P450 2D6 inhibition, where combination of two predictive models (with >80% of compounds correctly predicted) resulted in models with even better predictive values (with >90% of compounds correctly predicted for those classes of interest).
journal_name
J Med Chemjournal_title
Journal of medicinal chemistryauthors
O'Brien SE,de Groot MJdoi
10.1021/jm049254bkeywords:
subject
Has Abstractpub_date
2005-02-24 00:00:00pages
1287-91issue
4eissn
0022-2623issn
1520-4804journal_volume
48pub_type
杂志文章abstract::We have previously reported that rhodacyanine dyes, such as 1 and 2, exhibited a potent inhibitory effect on the growth of several tumor cells and that 4-oxothiazolidine (rhodanine) was an essential moiety for antitumor activity. On the basis of our foregoing work, two types of rhodacyanine dyes, which categorized int...
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abstract::Indirubins have been identified as potent ATP-competitive protein kinase inhibitors. Structural modifications in the 5- and 3'-position have been extensively investigated, but the impact of substituents in 5'-position is not equally well-studied. Here, we report the synthesis of new indirubin 3'- and 5'-derivatives in...
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