Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/28483
Título: Application of 4D-QSAR studies to a series of raloxifene analogs and design of potential selective estrogen receptor modulators
Palavras-chave: Molecular modeling
Estrogen receptor
Raloxifene
Genetic algorithms
Modelagem molecular
Receptor de estrogênio
Raloxifeno
Algorítmos genéticos
Data do documento: 2012
Editor: MDPI
Citação: SODERO, A. C. R. et al. Application of 4D-QSAR studies to a series of raloxifene analogs and design of potential selective estrogen receptor modulators. Molecules, [S. l.], v. 17, p. 7415-7439, 2012.
Resumo: Four-dimensional quantitative structure-activity relationship (4D-QSAR) analysis was applied on a series of 54 2-arylbenzothiophene derivatives, synthesized by Grese and coworkers, based on raloxifene (an estrogen receptor-alpha antagonist), and evaluated as ERa ligands and as inhibitors of estrogen-stimulated proliferation of MCF-7 breast cancer cells. The conformations of each analogue, sampled from a molecular dynamics simulation, were placed in a grid cell lattice according to three trial alignments, considering two grid cell sizes (1.0 and 2.0 Å). The QSAR equations, generated by a combined scheme of genetic algorithms (GA) and partial least squares (PLS) regression, were evaluated by “leave-one-out” cross-validation, using a training set of 41 compounds. External validation was performed using a test set of 13 compounds. The obtained 4D-QSAR models are in agreement with the proposed mechanism of action for raloxifene. This study allowed a quantitative prediction of compounds’ potency and supported the design of new raloxifene analogs.
URI: http://www.mdpi.com/1420-3049/17/6/7415
http://repositorio.ufla.br/jspui/handle/1/28483
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