- QSAR based on hybrid optimal descriptors as a tool to predict antibacterial activity against Staphylococcus aureus2022 | Faculty of Science
- QSPR Models for Prediction of Redox Potentials Using Optimal Descriptors2023 | Faculty of Science
- QSPR modeling of the half-wave potentials of benzoxazines by optimal descriptors calculated with the SMILES2006 | First Faculty of Medicine
- QSPR modeling of the half-wave potentials of benzoxazines by optimal descriptors calculated with the SMILES2006 | Faculty of Physical Education and Sport
- QSPR modeling of the half-wave potentials of benzoxazines by optimal descriptors calculated with the SMILES2006 | Faculty of Pharmacy in Hradec Králové
- QSPR modeling of the half-wave potentials of benzoxazines by optimal descriptors calculated with the SMILES2006 | Faculty of Science
- CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors2017 | First Faculty of Medicine
- QSPR modeling of octanol/water partition coefficient for vitamins by optimal descriptors calculated with SMILES2008 | First Faculty of Medicine
- SMILES-based QSPR model for half-wave potentials of 1-phenyl-5-benzyl-sulfanyltetrazoles using CORAL2012 | Faculty of Science
- The Monte Carlo Method Based on Eclectic Data as an Efficient Tool for Predictions of Endpoints for Nanomaterials - Two Examples of Application2015 | Faculty of Science, First Faculty of Medicine
- QSPR modeling of octanol/water partition coefficient of antineoplastic agents by balance of correlations2010 | First Faculty of Medicine
- QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids2012 | First Faculty of Medicine
- Development of the latest tools for building up "nano-QSAR": Quantitative features-property/activity relationships (QFPRs/QFARs)2016 | Faculty of Science
- SMILES-based quantitative structure-property relationships for half-wave potential of N-benzylsalicylthioamides2013 | Faculty of Science, Faculty of Pharmacy in Hradec Králové
- Prediction of retention characteristics of heterocyclic compounds2015 | Faculty of Science, Faculty of Pharmacy in Hradec Králové
- SMILES-based quantitative structure-retention relationships for RP HPLC of 1-phenyl-5-benzylsulfanyltetrazoles2014 | Faculty of Science
- QSAR of antimycobacterial activity of benzoxazoles by optimal SMILES-based descriptors2017 | Faculty of Science
- QSPR/QSAR Analyses by Means of the CORAL Software: Results, Challenges, Perspectives2015 | Faculty of Science
- Model for electrochemical parameters for 4-(benzylsulfanyl)pyridines calculated from the molecular structure2016 | Faculty of Science