| Literature DB >> 18782670 |
Sabrina Castellano1, Giorgio Stefancich, Rino Ragno, Katarzyna Schewe, Marisabella Santoriello, Antonia Caroli, Rolf W Hartmann, Gianluca Sbardella.
Abstract
Several derivatives out of a series of antifungal agents exhibited a good inhibitory potency against aromatase as well as a fairly good selectivity toward CYP17, even if lacking H-bond accepting substituents. Their common structural feature is a flexible backbone that did not fit into previously reported CYP19 models. Thus, a ligand-based approach was exploited to develop a novel statistically robust, self-consistent and predictive 3D-QSAR model herein proposed as a helpful tool to design new aromatase inhibitors.Entities:
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Year: 2008 PMID: 18782670 DOI: 10.1016/j.bmc.2008.08.046
Source DB: PubMed Journal: Bioorg Med Chem ISSN: 0968-0896 Impact factor: 3.641