Structure-based quantitative structure--activity relationship modeling of estrogen receptor ß-ligands.
Future Med Chem
; 3(8): 933-45, 2011 Jun.
Article
em En
| MEDLINE
| ID: mdl-21707397
ABSTRACT
BACKGROUND:
A variety of chemotypes have been studied as estrogen receptor (ER) ß-selective ligands for potential drugs against various indications, including neurodegenerative diseases. Their structure--activity relationship data and the x-ray structures of the ERß ligand-binding domain bound with different ligands have become available. Thus, it is vitally important for future development of ERß-selective ligands that robust quantitative structure-activity relationship (QSAR) models be built. METHODS/RESULTS:
We employed a newly developed structure--based QSAR method (structure-based pharmacophore keys QSAR) that utilizes both the structure--activity relationship data and the 3D structural information of ERß, as well as a robust QSAR workflow to analyze 37 ligands. Four sets of QSAR models were obtained, among which approximately 30 models afforded high (>0.60) training-r(2) and test set-R(2) statistics.CONCLUSION:
We have obtained an ensemble of predictive models of ERß ligands that will be useful in the future discovery of novel ERß-selective molecules.
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Preparações Farmacêuticas
/
Desenho de Fármacos
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Relação Quantitativa Estrutura-Atividade
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Receptor beta de Estrogênio
Idioma:
En
Ano de publicação:
2011
Tipo de documento:
Article