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Modelatge per homologia×QSAR×
CampBioinformàticaBioinformàtica
FamíliaProcess / pipelineProcess / pipeline
Any d'origen19931964
Autor originalAndrej SaliCorwin Hansch
TipusComparative structure prediction pipelineRegression-based predictive modeling pipeline
Font 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 ↗
Àliescomparative modeling, template-based modelingQSAR model, quantitative structure-activity relationship
Relacionats43
ResumHomology 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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ScholarGateCompara mètodes: Homology Modeling · QSAR. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare