P2RANK: Knowledge-Based Ligand Binding Site Prediction Using Aggregated Local Features. - Radoslav Krivák; David Hoksza (AlCoB, 2015)

Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features. - Radoslav Krivák; David Hoksza (J. Cheminformatics, 2015)

Improving quality of ligand-binding site prediction with Bayesian optimization. - Radoslav Krivák; David Hoksza; Petr Skoda 001 (BIBM, 2017)

Peptide-Binding Site Prediction From Protein Structure via points on the Solvent Accessible Surface. - Radoslav Krivák; Lukás Jendele; David Hoksza (BCB, 2018)

P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure. - Radoslav Krivák; David Hoksza (J. Cheminformatics, 2018)

PrankWeb: a web server for ligand binding site prediction and visualization. - Lukás Jendele; Radoslav Krivák; Petr Skoda 001; Marian Novotny; David Hoksza (Nucleic Acids Res., 2019)

PDBe-KB: a community-driven resource for structural and functional annotations. - Mihaly Varadi; John M. Berrisford; Mandar S. Deshpande; Sreenath Nair; Aleksandras Gutmanas; David R. Armstrong; Lukás Pravda; Bissan Al-Lazikani; Stephen Anyango; Geoffrey J. Barton; Karel Berka; Tom L. Blundell; et al. (Nucleic Acids Res., 2020)

PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures. - David Jakubec; Petr Skoda 001; Radoslav Krivák; Marian Novotny; David Hoksza (Nucleic Acids Res., 2022)

PDBe-KB: collaboratively defining the biological context of structural data. - Mihaly Varadi; Stephen Anyango; David R. Armstrong; John M. Berrisford; Preeti Choudhary; Mandar S. Deshpande; Nurul Nadzirin; Sreenath Nair; Lukás Pravda; Ahsan Tanweer; Bissan Al-Lazikani; Claudia Andreini; et al. (Nucleic Acids Res., 2022)

AHoJ: rapid, tailored search and retrieval of apo and holo protein structures for user-defined ligands. - Christos P. Feidakis; Radoslav Krivák; David Hoksza; Marian Novotny (Bioinform., 2022)