| Literature DB >> 21852131 |
Tim Luker1, Lilian Alcaraz, Kamaldeep K Chohan, Niklas Blomberg, Dearg S Brown, Roger J Butlin, Thomas Elebring, Andrew M Griffin, Simon Guile, Stephen St-Gallay, Britt-Marie Swahn, Steve Swallow, Michael J Waring, Mark C Wenlock, Paul D Leeson.
Abstract
A valid PLS-DA model to predict attrition in pre-clinical toxicology for basic oral candidate drugs was built. A combination of aromatic/aliphatic balance, flatness, charge distribution and size descriptors helped predict the successful progression of compounds through a wide range of toxicity testing. Eighty percent of an independent test set of marketed post-2000 basic drugs could be successfully classified using the model, indicating useful forward predictivity. The themes within this work provide additional guidance for medicinal design chemists and complement other literature property guidelines.Entities:
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Year: 2011 PMID: 21852131 DOI: 10.1016/j.bmcl.2011.07.074
Source DB: PubMed Journal: Bioorg Med Chem Lett ISSN: 0960-894X Impact factor: 2.823