Aleksander Mendyk

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Subarachnoid Hemorrhage

Candida Albicans

Top Venues

Journal of chemical information and modeling

Pharmaceuticals (Basel, Switzerland)

Molecular pharmaceutics

This page only lists publications with an associated author ORCID identifier.

Publications

Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors. Pharmaceutics 16 (3) (2024)
Thongtham Suksawat, Witold Brniak, Ewelina Łyszczarz, Małgorzata Wesoły, Patrycja Ciosek-Skibińska, Aleksander Mendyk
Orodispersible Dosage Forms with Rhinacanthin-Rich Extract as a Convenient Formulation Dedicated to Pediatric Patients. Pharmaceuticals (Basel, Switzerland) 17 (8) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors. Pharmaceutics 16 (3) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors. Pharmaceutics 16 (3) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling (2024)
Thongtham Suksawat, Witold Brniak, Ewelina Łyszczarz, Małgorzata Wesoły, Patrycja Ciosek-Skibińska, Aleksander Mendyk
Orodispersible Dosage Forms with Rhinacanthin-Rich Extract as a Convenient Formulation Dedicated to Pediatric Patients. Pharmaceuticals (Basel, Switzerland) 17 (8) (2024)
Natalia Łapińska, Jakub Szlęk, Adam Pacławski, Klaudia Klimończyk, Matteo Puccetti, Aleksander Mendyk
Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity. Molecular pharmaceutics (2023)
Justyna Srebro, Witold Brniak, Aleksander Mendyk
Formulation of Dosage Forms with Proton Pump Inhibitors: State of the Art, Challenges and Future Perspectives. Pharmaceutics 14 (10) (2022)
Jakub Szlęk, Mohammad Hassan Khalid, Adam Pacławski, Natalia Czub, Aleksander Mendyk
Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs. Pharmaceutics 14 (4) (2022)
Jolanta Pyteraf, Adam Pacławski, Witold Jamróz, Aleksander Mendyk, Marian Paluch, Renata Jachowicz
Application and Multi-Stage Optimization of Daylight Polymer 3D Printing of Personalized Medicine Products. Pharmaceutics 14 (4) (2022)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT 1A Receptor Case. Pharmaceutics 14 (7) (2022)
Natalia Czub, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor. Pharmaceutics 13 (10) (2021)