Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Acoplamiento molecular× | QSAR× | |
|---|---|---|
| Campo | Bioinformática | Bioinformática |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1982 | 1964 |
| Autor original≠ | Irwin Kuntz | Corwin Hansch |
| Tipo≠ | Binding prediction pipeline | Regression-based predictive modeling pipeline |
| Fuente seminal≠ | Kuntz, 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 ↗ |
| Alias | protein-ligand docking, binding prediction | QSAR model, quantitative structure-activity relationship |
| Relacionados≠ | 4 | 3 |
| Resumen≠ | Molecular 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. |
| ScholarGateConjunto de datos ↗ |
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