The estrogen receptor-beta subtype (ERβ) is an attractive drug target for the development of novel therapeutic agents for hormone replacement therapy. Hologram quantitative structure-activity relationships (HQSAR) were conducted on a series of 6-phenylnaphthalene and 2-phenylquinoline
derivatives, employing values of ERβ binding affinity. A training set of 65 compounds served to derive the models. The best statistical HQSAR model (q2 = 0.73 and r2 = 0.91) was generated using atoms, bonds, connections and donor and acceptor as fragment distinction parameters, and fragment
size default (4-7) with hologram length of 199. The model was used to predict the binding affinity of an external test set of 16 compounds, and the predicted values were in good agreement with the experimental results. The final HQSAR model and the information obtained from 2D contribution
maps should be useful for the design of novel ERβ modulators having improved affinity.
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ERβ binding affinity;
Hormone replacement therapy
Document Type: Research Article
Laboratório de Química Medicinal e Computacional, Centro de Biotecnologia Molecular Estrutural, Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos-SP, Brazil
Publication date: December 1, 2007