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ChemInform Abstract: Computational Methods for the Design of Potent Aromatase Inhibitors

Authors :
Angelo Carotti
Orazio Nicolotti
Angelo D. Favia
Francesco Leonetti
Angela Stefanachi
Source :
ChemInform. 44
Publication Year :
2013
Publisher :
Wiley, 2013.

Abstract

Introduction: It has long been considered that the most significant risks for breast cancer are gender and age but, as many other tumors, this cancer has also been undeniably linked to gene mutations. The vast majority of breast cancers in postmenopausal women are estrogen-responsive, a hormone which is biosynthesized from blood-circulating androgens through an aromatization reaction, catalyzed by aromatase (AR). One strategy, therefore, to combat breast cancer, has been to find compounds that can inhibit the activity of aromatase to reduce estrogen levels. Areas covered: The authors provide a broad and updated overview of the general structure–activity relationships and on the latest ligand- and structure-based approaches applied to the discovery of potent, selective and safer breast cancer drugs. Specifically the authors review the most consolidated techniques, based on structure–activity relationships, pharmacophore mapping, rigid and flexible molecular docking, as well as sophisticated and reliable pr...

Details

ISSN :
09317597
Volume :
44
Database :
OpenAIRE
Journal :
ChemInform
Accession number :
edsair.doi...........0b367417deb3b9815622a960a898848a
Full Text :
https://doi.org/10.1002/chin.201335247