Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10594069 | Bioorganic & Medicinal Chemistry Letters | 2011 | 6 Pages |
Abstract
Pre-clinical investigation of some aryl-piperidinyl ether histamine H3 receptor antagonists revealed a strong hERG binding. To overcome this issue, we have developed a QSAR model specially dedicated to H3 receptor ligands. This model was designed to be directly applicable in medicinal chemistry with no need of molecular modeling. The resulting recursive partitioning trees are robust (80-85% accuracy), but also simple and comprehensible. A novel promising lead emerged from our work and the structure-activity relationships are presented.
Related Topics
Physical Sciences and Engineering
Chemistry
Organic Chemistry
Authors
Nicolas Levoin, Olivier Labeeuw, Thierry Calmels, Olivia Poupardin-Olivier, Isabelle Berrebi-Bertrand, Jeanne-Marie Lecomte, Jean-Charles Schwartz, Marc Capet,