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Enantioselective Nonsteroidal Aromatase Inhibitors Identified through a Multidisciplinary Medicinal Chemistry Approach

Authors :
Alessandra Bisi
P. Valenti
Silvia Gobbi
Carlo Bertucci
Carlo Rosini
Rolf W. Hartmann
Federica Belluti
Egidio Giorgio
Angela Rampa
Anja Paluszcak
Maurizio Recanatini
Lorna Piazzi
Andrea Cavalli
Cavalli A.
Bisi A.
Bertucci C.
Rosini C.
Paluszcak A.
Gobbi S.
Giorgio E.
Rampa A.
Belluti F.
Piazzi L.
Valenti P.
Hartmann R.W.
Recanatini M.
Source :
Journal of Medicinal Chemistry. 48:7282-7289
Publication Year :
2005
Publisher :
American Chemical Society (ACS), 2005.

Abstract

To identify enantioselective nonsteroidal aromatase inhibitors, a multidisciplinary medicinal chemistry approach was pursued. First, our earlier CoMFA model [Bioorg. Med. Chem. 1998,6, 377-388] was extended taking purposely into account previously discovered enantioselective aromatase inhibitors. The 3D QSAR model was then exploited to design chiral ligands, whose configurational assignment was obtained, after HPLC separation, by means of a combination of circular dichroism measurements and time dependent density functional calculations. Finally, the new enantiomeric inhibitors were separately tested to ascertain both their potency against the cytochrome P450 aromatase (CYP19; EC 1.14.14.1), and their selectivity relative to another enzyme of the P450 family. A satisfactory agreement between experimental and predicted data allowed us to assert that a properly built "enantioselective CoMFA model" might constitute a useful tool for addressing enantioselective ligands design.

Details

ISSN :
15204804 and 00222623
Volume :
48
Database :
OpenAIRE
Journal :
Journal of Medicinal Chemistry
Accession number :
edsair.doi.dedup.....d5227596c7b79aab0e2a7422f7e96aa0
Full Text :
https://doi.org/10.1021/jm058042r