Aleksander Mendyk at Uniwersytet Jagielloński w Krakowie Collegium Medicum - Research Interests, Publications & Academic Profile

Aleksander Mendyk

professor with tenure / PhD, DSc

Uniwersytet Jagiellonski Collegium Medicum

Poland

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Research Interests

Pharmacology

80%

Pharmaceutical Chemistry

100%

Chemical Biology

40%

Pharmacometrics

40%

Drug Formulation

30%

Neuropharmacology

30%

Molecular Modeling

30%

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Articles16

Application of Hydrophilic Polymers to the Preparation of Prolonged-Release Minitablets with Bromhexine Hydrochloride and Bisoprolol Fumarate

Article Link

Year:

2024

Orodispersible Dosage Forms with Rhinacanthin-Rich Extract as a Convenient Formulation Dedicated to Pediatric Patients

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Year:

2024

SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery

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Year:

2024

Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors

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Year:

2024

Investigating the Impact of Co-processed Excipients on the Formulation of Bromhexine Hydrochloride Orally Disintegrating Tablets (ODTs)

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Year:

2023

Application of automated machine learning in the identification of multi‐target‐directed ligands blocking PDE4B, PDE8A, and TRPA1 with potential use in the treatment of asthma and COPD

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Year:

2023

Hydrogels as effective wound dressings in support of wounds treatment

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Year:

2023

Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity

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Year:

2023

Report on the Virtual Workshop: A Quest for Biowaiver, Including Next Generation Dissolution Characterization and Modeling

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Year:

2023

Formulation of Dosage Forms with Proton Pump Inhibitors: State of the Art, Challenges and Future Perspectives

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Year:

2022

Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT1A Receptor Case

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Year:

2022

Application and Multi-Stage Optimization of Daylight Polymer 3D Printing of Personalized Medicine Products

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Year:

2022

Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs

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Year:

2022

Computational Intelligence Model of Orally Disintegrating Tablets: An Attempt to Explain Disintegration Process

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Year:

2021

Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor

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Year:

2021

Machine Learning for the Identification of Hydration Mechanisms of Pharmaceutical-Grade Cellulose Polymers and Their Mixtures with Model Drugs

Article Link

Year:

2021

Collaborators6

Dorota Haznar-Garbacz

Wroclaw Medical University

POLAND

Malgorzata Wesoly

University of Warsaw

POLAND

Marcin Kolaczkowski

Profesor nadzwyczajny/dr hab.

Uniwersytet Jagiellonski Collegium Medicum

POLAND

Alicja Gawalska

Lecturer Assistant

Uniwersytet Jagiellonski Collegium Medicum

POLAND

Witold Brniak

assisstant professor

Uniwersytet Jagiellonski Collegium Medicum

POLAND

Natalia Łapińska

Jagiellonian University

POLAND

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