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Acoblament molecular×QSAR×
CampBioinformàticaBioinformàtica
FamíliaProcess / pipelineProcess / pipeline
Any d'origen19821964
Autor originalIrwin KuntzCorwin Hansch
TipusBinding prediction pipelineRegression-based predictive modeling pipeline
Font seminalKuntz, I. D., Blaney, J. M., Oatley, S. J., Langridge, R., & Ferrin, T. E. (1982). A geometric approach to macromolecule-ligand interactions. Journal of Molecular Biology, 161(2), 269-288. 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 ↗
Àliesprotein-ligand docking, binding predictionQSAR model, quantitative structure-activity relationship
Relacionats43
ResumMolecular docking predicts the preferred binding orientation and affinity of a ligand (small molecule) within a protein binding pocket. Pioneered by Kuntz and colleagues in 1982, this computational method searches conformational space to find energetically favorable ligand-protein complexes, enabling rapid screening of chemical libraries for drug discovery.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: Molecular Docking · QSAR. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare