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Modelagem por Homologia×QSAR×
ÁreaBioinformáticaBioinformática
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19931964
Autor originalAndrej SaliCorwin Hansch
TipoComparative structure prediction pipelineRegression-based predictive modeling pipeline
Fonte seminalSali, A. & Blundell, T. L. (1993). Comparative protein modelling by satisfaction of spatial restraints. Journal of Molecular Biology, 234(3), 779-815. DOI ↗Hansch, C. & Fujita, T. (1964). Rho-sigma-pi analysis. A method for the correlation of biological activity and chemical structure. Journal of the American Chemical Society, 86(8), 1616-1626. DOI ↗
Outros nomescomparative modeling, template-based modelingQSAR model, quantitative structure-activity relationship
Relacionados43
ResumoHomology modeling, also called comparative modeling, predicts the three-dimensional structure of a protein using an experimentally-solved structure of a homologous protein as a template. Introduced by Sali and Blundell in 1993, this method exploits the principle that homologous proteins share similar spatial structures despite differing in amino acid sequence.Quantitative Structure-Activity Relationship (QSAR) modeling predicts biological activity from molecular structure using statistical or machine learning models. Pioneered by Hansch in 1964, QSAR correlates numerical molecular descriptors with measured bioactivity, enabling prediction of activity for untested compounds and rational lead optimization.
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ScholarGateComparar métodos: Homology Modeling · QSAR. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare