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Database : the Journal of Biological Databases and Curation|April 12, 2026
Dataset of xenobiotics human renal clearance valuesNatalia Łapińska, Sebastian PolakMolecules (Basel, Switzerland)|February 13, 2025
Machine Learning Tool for New Selective Serotonin and Serotonin-Norepinephrine Reuptake InhibitorsNatalia Łapińska, Jakub Szlęk, Adam Pacławski, et al.Journal of Chemical Information and Modeling|January 30, 2024
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug DiscoveryNatalia Łapińska, Adam Pacławski, Jakub Szlęk, et al.Pharmaceutics|March 28, 2024
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular DescriptorsNatalia Łapińska, Adam Pacławski, Jakub Szlęk, et al.Polish Journal of Radiology|October 27, 2025
Assessment of X-ray ankle joint image projection correctness with the use of machine learning algorithmsPiotr Dominik Gabryś, Natalia Łapińska, Aleksander Mendyk, et al.Pharmaceutics|November 27, 2024
Initial Development of Automated Machine Learning-Assisted Prediction Tools for Aryl Hydrocarbon Receptor ActivatorsPaulina Anna Wojtyło, Natalia Łapińska, Lucia Bellagamba, et al.Journal of Proteome Research|September 9, 2025
Uncovering Urinary Proteome Differences in Very Preterm Infants with and without Preterm Brain InjuryMagdalena Zasada, Maciej Suski, Marta Olszewska, et al.Pediatric Research|July 17, 2025
Preterm functional outcomes are reflected in early postnatal proteome changesMagdalena Zasada, Maciej Suski, Natalia Łapińska, et al.Molecular and Cellular Pediatrics|March 5, 2026
Time-resolved urinary proteomics reveals heme-associated oxidative stress responses in neonatal hypoxic-ischaemic encephalopathyMagdalena Zasada, Maciej Suski, Marta Olszewska, et al.Pageof 1