Alicja Gawalska

Lecturer Assistant

Uniwersytet Jagiellonski Collegium Medicum

Poland

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Alicja Gawalska is a Lecturer Assistant at Uniwersytet Jagielloński Collegium Medicum in Poland. Her research encompasses a range of topics including chemometric methods for drug interactions, the effects of dietary interventions on drug bioavailability, and the application of machine learning in drug discovery related to respiratory and neuroinflammatory conditions. Recent publications also highlight her work on biased agonists and new therapeutic agents targeting specific receptors linked to depression and inflammatory diseases.

Articles (11)

Year:

2025

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2024

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2024

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2023

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2023

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2023

Year:

2023

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2022

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2021

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2021

Year:

2020

Collaborators (8)

Magdalena Kotańska

POLAND

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Marcin Kolaczkowski

Profesor nadzwyczajny/dr hab.

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Joanna Śniecikowska

Assistant Professor

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Pawel Zagrodzki

Jagiellonian University Medical College

POLAND

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Adam Bucki

Assistant professor

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Aleksander Mendyk

professor with tenure / PhD, DSc

Uniwersytet Jagiellonski Collegium Medicum

POLAND

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Natalia Łapińska

Jagiellonian University

POLAND

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Grażyna Chłoń-Rzepa

Assistant Professor with Habilitation

Jagiellonian University Medical College

POLAND

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Alicja Gawalska

Research Interests

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About

Articles (11)

Chemometric Methods—A Valuable Tool for Investigating the Interactions Between Antifungal Drugs (Including Antifungal Antibiotics) and Food

Clinically important interactions of macrolides and tetracyclines with dietary interventions—a systematic review with meta-analyses

Together or Apart? Revealing the Impact of Dietary Interventions on Bioavailability of Quinolones: A Systematic Review with Meta-analyses

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

The use of machine learning-based sequential virtual screening in the search of new ligands of 5-HT6 receptor

Hybrid molecules combining GABA-A and serotonin 5-HT6 receptors activity designed to tackle neuroinflammation associated with depression

The 5-HT1A receptor biased agonist, NLX-204, shows rapid-acting antidepressant-like properties and neurochemical changes in two mouse models of depression

Structural Modeling of TRPA1 Ion Channel—Determination of the Binding Site for Antagonists

The selective 5-HT1A receptor biased agonists, F15599 and F13714, show antidepressant-like properties after a single administration in the mouse model of unpredictable chronic mild stress

New imidazopyridines with phosphodiesterase 4 and 7 inhibitory activity and their efficacy in animal models of inflammatory and autoimmune diseases

Novel anilide and benzylamide derivatives of arylpiperazinylalkanoic acids as 5-HT1A/5-HT7 receptor antagonists and phosphodiesterase 4/7 inhibitors with procognitive and antidepressant activity

Collaborators (8)

Magdalena Kotańska

Marcin Kolaczkowski

Joanna Śniecikowska

Pawel Zagrodzki

Adam Bucki

Aleksander Mendyk

Natalia Łapińska

Grażyna Chłoń-Rzepa

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