- Improving quality of ligand-binding site prediction with Bayesian optimization2017 | Faculty of Mathematics and Physics
- P2RANK: knowledge-based ligand binding site prediction using aggregated local features2015 | Faculty of Mathematics and Physics
- PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures2022 | Faculty of Mathematics and Physics, Faculty of Science
- PrankWeb: a web server for ligand binding site prediction and visualization2019 | Faculty of Mathematics and Physics, Faculty of Science
- Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features2015 | Faculty of Mathematics and Physics
- P2RANKPublication without faculty affiliation
- Exploration of protein sequence embeddings for protein-ligand binding site detection2022 | Faculty of Mathematics and Physics
- P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure2018 | Faculty of Mathematics and Physics