Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Молекулярний докінг× | QSAR× | |
|---|---|---|
| Галузь | Біоінформатика | Біоінформатика |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1982 | 1964 |
| Автор методу≠ | Irwin Kuntz | Corwin Hansch |
| Тип≠ | Binding prediction pipeline | Regression-based predictive modeling pipeline |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | protein-ligand docking, binding prediction | QSAR model, quantitative structure-activity relationship |
| Пов'язані≠ | 4 | 3 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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