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M

Maciej Przybyłek

nicolaus copernicus university in torun

19H-index
91Paper Count
1.0KCitation Count
Published Papers 36
Publication Date
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When Does Machine Learning Add Value over Theory? Predicting API Solubility in Binary Mixtures with COSMO-RS and DOOIT2 Across Diverse and Homogeneous Systems
errMolecules
IF4.6
err2026-05-08
err0
errOAAI
errMaciej Przybyłek; Tomasz Jeliński; Adrian Drużyński; Piotr Cysewski
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Navigating the Solubility Landscape of APIs in Deep Eutectic Solvents: A Data-Driven Thermodynamic Taxonomy of Solvation Regimes and Mechanisms
errMolecules
IF4.6
err2026-04-29
err0
errOAAI
errTomasz Jeliński; Konrad Brzózka; Maciej Przybyłek; Piotr Cysewski
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Navigating the Deep Eutectic Solvent Landscape: Experimental and Machine Learning Solubility Explorations of Syringic, p-Coumaric, and Caffeic Acids
errInternational Journal of Molecular Sciences
IF4.9
err2026-03-03
err0
errOAAI
errPiotr Cysewski; Tomasz Jeliński; Maciej Przybyłek; Natalia Gliniewicz; Marcel Majkowski; Michał Wąs
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Data-Driven Classification of Solubility Space in Deep Eutectic Solvents: Deciphering Driving Forces Using PCA and K-Means Clustering
errMolecules
IF4.6
err2026-03-03
err0
errOAAI
errPiotr Cysewski; Maciej Przybyłek; Tomasz Jeliński
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errSave
Coconut Milk-Derived Bioactive Peptides as Multifunctional Agents Against Hyperglycemia, Oxidative Stress, and Glycation: An Integrated Experimental and Computational Study
errInternational Journal of Molecular Sciences 2026, Vol. 27, Page 360
IF4.9
err2025-12-29
err0
errOAAI
errAkshaya Simha Naganarasimha; Shashank M. Patil; Ramith Ramu; Maciej Przybyłek; Piotr Bełdowski; Olga Małolepsza; Sławomir Bujanowski; Mudassar Shahid
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Molecular dynamics analysis of hyaluronic acid-albumin complexes: Effect of the HSA-to-HA ratio on structure and stability
errSoft Matter
IF2.8
err2025-11-19
err0
PREAI
errPiotr Bełdowski; Maciej Przybyłek; Sandra Śmigiel; Adam Mazurkiewicz; Damian Bełdowski; Ramith Ramu; Aneta D. Petelska; Andra Dėdinaitė; Per M. Claesson
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Evaluating the Effectiveness of Reference Solvent Solubility Calculations for Binary Mixtures Based on Pure Solvent Solubility: The Case of Phenolic Acids
errMolecules 2025, Vol. 30, Page 4444
IF4.6
err2025-11-19
err0
errOAAI
errPiotr Cysewski; Tomasz Jeliński; Rafal Rozalski; Fabian Lesniewski; Maciej Przybyłek
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Duality of Simplicity and Accuracy in QSPR: A Machine Learning Framework for Predicting Solubility of Selected Pharmaceutical Acids in Deep Eutectic Solvents
errMolecules 2025, Vol. 30, Page 4361
IF4.6
err2025-11-18
err0
errOAAI
errPiotr Cysewski; Tomasz Jeliński; Julia Giniewicz; Anna Kaźmierska; Maciej Przybyłek
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From Molecular Interactions to Solubility in Deep Eutectic Solvents: Exploring Flufenamic Acid in Choline-Chloride- and Menthol-Based Systems
errMolecules 2025, Vol. 30, Page 3434
IF4.6
err2025-08-20
err0
PREAI
errPiotr Cysewski; Tomasz Jeliński; Oliwia Kukwa; Maciej Przybyłek
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Exploration of the Solubility Hyperspace of Selected Active Pharmaceutical Ingredients in Choline- and Betaine-Based Deep Eutectic Solvents: Machine Learning Modeling and Experimental Validation
errMOLECULES
IF4.6
err2024-10-16
err4
errOAAI
errCysewski, Piotr; Jelinski, Tomasz; Przybylek, Maciej
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Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modeling
errMOLECULES
IF4.6
err2024-08-13
err3
errOAAI
errJelinski, Tomasz; Przybylek, Maciej; Rozalski, Rafal; Romanek, Karolina; Wielewski, Daniel; Cysewski, Piotr
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Experimental and Machine-Learning-Assisted Design of Pharmaceutically Acceptable Deep Eutectic Solvents for the Solubility Improvement of Non-Selective COX Inhibitors Ibuprofen and Ketoprofen
errMOLECULES
IF4.6
err2024-05-14
err11
errOAAI
errCysewski, Piotr; Jelinski, Tomasz; Przybylek, Maciej; Mai, Anna; Kulak, Julia
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Experimental and Theoretical Insights into the Intermolecular Interactions in Saturated Systems of Dapsone in Conventional and Deep Eutectic Solvents
errMOLECULES
IF4.6
err2024-04-11
err3
errOAAI
errCysewski, Piotr; Jelinski, Tomasz; Przybylek, Maciej
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Deep Eutectic Solvents as Agents for Improving the Solubility of Edaravone: Experimental and Theoretical Considerations
errMOLECULES
IF4.6
err2024-03-12
err4
errOAAI
errJelinski, Tomasz; Przybylek, Maciej; Mianowana, Magdalena; Misiak, Kinga; Cysewski, Piotr
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Exploring the Solubility Limits of Edaravone in Neat Solvents and Binary Mixtures: Experimental and Machine Learning Study
errMOLECULES
IF4.6
err2023-09-29
err4
errOAAI
errPrzybylek, Maciej; Jelinski, Tomasz; Mianowana, Magdalena; Misiak, Kinga; Cysewski, Piotr
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Intermolecular Interactions as a Measure of Dapsone Solubility in Neat Solvents and Binary Solvent Mixtures
errMATERIALS
IF3.2
err2023-09-21
err5
errOAAI
errCysewski, Piotr; Przybylek, Maciej; Jelinski, Tomasz
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Finding the Right Solvent: A Novel Screening Protocol for Identifying Environmentally Friendly and Cost-Effective Options for Benzenesulfonamide
errMOLECULES
IF4.6
err2023-06-26
err6
errOAAI
errCysewski, Piotr; Jelinski, Tomasz; Przybylek, Maciej
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Intermolecular Interactions of Edaravone in Aqueous Solutions of Ethaline and Glyceline Inferred from Experiments and Quantum Chemistry Computations
errMOLECULES
IF4.6
err2023-01-07
err10
errOAAI
errCysewski, Piotr; Jelinski, Tomasz; Przybylek, Maciej
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Application of gas chromatographic data and 2D molecular descriptors for accurate global mobility potential prediction
errENVIRONMENTAL POLLUTION
IF7.3
err2023-01-01
err2
PREAI
errStudzinski, Waldemar; Przybylek, Maciej; Gackowska, Alicja
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Collagen Type II-Chitosan Interactions as Dependent on Hydroxylation and Acetylation Inferred from Molecular Dynamics Simulations
errMOLECULES
IF4.6
err2022-12-24
err7
errOAAI
errPrzybylek, Maciej; Beldowski, Piotr; Wieland, Florian; Cysewski, Piotr; Sionkowska, Alina
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Research Directions

No research directions
Co-authors
Cooperation Journals
P
Per M. Claesson
H-index: 69 · Papers: 462
A
Alina Sionkowska
H-index: 59 · Papers: 290
A
Andra Dédinaité
H-index: 34 · Papers: 114
R
Ramith Ramu
H-index: 33 · Papers: 182
R
Rafał Różalski
H-index: 31 · Papers: 67
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