Protein binding sites
Development of ProBiS methods for detecting and comparing structurally similar binding sites independently of global sequence or fold.
Structural bioinformatician developing computational methods for protein-centered drug discovery, with a particular focus on protein binding sites, molecular docking, genetic variants and graph algorithms.
Development of ProBiS methods for detecting and comparing structurally similar binding sites independently of global sequence or fold.
Computational approaches for ligand prediction, molecular docking and the identification of pharmaceutically relevant protein targets.
Mapping genetic variants and ligand-binding information onto experimental PDB structures and AlphaFold models of the human proteome.
Exact and heuristic graph-theoretical algorithms for difficult optimization problems arising in structural bioinformatics and molecular modeling.
Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska.
Led the ARRS/FWO project New Computational Tools at the Molecular Scale for Studying Effects of Genetic Variants on Drug Binding.
Became Chief Executive Officer of the National Institute of Chemistry spin-out created to develop computational methods into services and commercial products.
Faculty of Pharmacy, University of Ljubljana.
Theory Department, National Institute of Chemistry. Also served as Associate Professor of Bioinformatics at the University of Primorska from 2016 to 2021.
Research at the National Institutes of Health, Bethesda, Maryland, USA.
The ProBiS-2012 web-server work was recognized by the Slovenian Research Agency as an outstanding scientific achievement in Natural Sciences and Mathematics.
Published the ProBiS local structural-alignment algorithm in Bioinformatics; the paper was later recognized as a Web of Science Highly Cited Paper.
University of Ljubljana.
University of Ljubljana. The bachelor's research thesis received a Krka award.