Porównaj metody

	Modelowanie homologiczne	Modelowanie farmakoforowe	Topologia sieci PPI
Dziedzina	Bioinformatyka	Bioinformatyka	Bioinformatyka
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1993	1977	2000
Twórca	Andrej Sali	Peter Gund	Peter Uetz
Typ	Comparative structure prediction pipeline	Pattern-based virtual screening pipeline	Network analysis pipeline
Źródło pierwotne	Sali, A. & Blundell, T. L. (1993). Comparative protein modelling by satisfaction of spatial restraints. Journal of Molecular Biology, 234(3), 779-815.	Wermuth, C. G., Ganellin, C. R., Lindberg, P., & Mitscher, L. A. (1998). Glossary of terms used in medicinal chemistry. Pure and Applied Chemistry, 70(5), 1129-1143.	Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., ... & Lomax, J. (2000). A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature, 403(6770), 623-627.
Inne nazwy	comparative modeling, template-based modeling	pharmacophore pattern recognition, 3D pharmacophore	protein interaction networks, interactome analysis, network topology
Pokrewne	4	3	3
Podsumowanie	Homology 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.	Pharmacophore modeling identifies the spatial arrangement of molecular features (hydrogen bond donors, acceptors, aromatic rings) that are essential for biological activity. Introduced by Gund in 1977, this ligand-based method creates a three-dimensional pattern that can screen chemical libraries and design new active compounds without requiring receptor structure.	Protein-protein interaction network analysis identifies and characterizes the structural properties of cellular interaction networks. Pioneered by Uetz and colleagues through large-scale yeast two-hybrid screening, this approach reveals topological features like hubs, modules, and motifs that encode functional organization and disease associations.