Σύγκριση μεθόδων

	Μοριακή Προσδέση	Μοντελοποίηση Ομολογίας	Τοπολογία Δικτύου Αλληλεπιδράσεων Πρωτεϊνών-Πρωτεϊνών
Πεδίο	Βιοπληροφορική	Βιοπληροφορική	Βιοπληροφορική
Οικογένεια	Process / pipeline	Process / pipeline	Process / pipeline
Έτος προέλευσης	1982	1993	2000
Δημιουργός	Irwin Kuntz	Andrej Sali	Peter Uetz
Τύπος	Binding prediction pipeline	Comparative structure prediction pipeline	Network analysis pipeline
Θεμελιώδης πηγή	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.	Sali, A. & Blundell, T. L. (1993). Comparative protein modelling by satisfaction of spatial restraints. Journal of Molecular Biology, 234(3), 779-815.	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.
Εναλλακτικές ονομασίες	protein-ligand docking, binding prediction	comparative modeling, template-based modeling	protein interaction networks, interactome analysis, network topology
Συναφείς	4	4	3
Σύνοψη	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.	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.	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.