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1.
Advanced clique algorithms for protein product graphs
Janez Konc, Dušanka Janežič, 2025, original scientific article

Abstract: In this paper, we give a comprehensive overview of the development of clique algo-rithms and their use for drug design based on the search for cliques in protein productgraphs. The maximum clique problem is a computational problem of finding largest sub-sets of vertices in a graph that are all pairwise adjacent. A related problem is the maximumweight clique problem and the highest weight k-clique problem, which both extend the al-gorithm to weighted graphs. The review covers our developed algorithms, starting with ourimproved branch-and-bound algorithm for finding maximum cliques in undirected graphsfrom 2007 up to the recent developments of algorithms for weighted graphs in 2024. Weshow the application of these algorithms to early stages of drug discovery, in particular toprotein binding site detection based on protein similarity search in large protein databasesand to protein-ligand molecular docking.
Keywords: cliques, protein product graphs, applications
Published in RUP: 08.08.2025; Views: 980; Downloads: 15
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2.
Programi za napovedovanje vezavnih mest na proteinih : zaključna naloga
Urška Zirnstein Bekš, 2017, undergraduate thesis

Keywords: binding sites, programs for predicting binding sites, drug discovery
Published in RUP: 09.11.2017; Views: 5019; Downloads: 64
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3.
Ligand-protein binding and ligand-based virtual screening using maximum clique algorithm
Dušanka Janežič, Janez Konc, 2015, published scientific conference contribution abstract

Keywords: ligand-protein binding, virtual screening, clique algorithm
Published in RUP: 08.08.2016; Views: 5175; Downloads: 47
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5.
ProBiS-ligands : a web server for prediction of ligands by examination of protein binding sites
Dušanka Janežič, Janez Konc, 2015, published scientific conference contribution abstract

Published in RUP: 15.10.2015; Views: 4729; Downloads: 38
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