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Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT1A Receptor Case
by
Czub, Natalia
,
Pacławski, Adam
,
Szlęk, Jakub
,
Mendyk, Aleksander
Published in
Pharmaceutics
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Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor
by
Czub, Natalia
,
Pacławski, Adam
,
Szlęk, Jakub
,
Mendyk, Aleksander
Published in
Pharmaceutics
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Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs
by
Szlęk, Jakub
,
Khalid, Mohammad Hassan
,
Pacławski, Adam
,
Czub, Natalia
,
Mendyk, Aleksander
Published in
Pharmaceutics
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Evolutionary Algorithms in Modeling Aerodynamic Properties of Spray-Dried Microparticulate Systems
by
Paclawski, Adam
,
Szlek, Jakub
,
Jachowicz, Renata
,
Giovagnoli, Stefano
,
Wisniowska, Barbara
,
Polak, Sebastian
,
Czub, Natalia
,
Mendyk, Aleksander
Published in
Applied sciences
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Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity
by
Czub, Natalia
,
Szlęk, Jakub
,
Pacławski, Adam
,
Klimończyk, Klaudia
,
Puccetti, Matteo
,
Mendyk, Aleksander
Published in
Molecular pharmaceutics
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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...
by
Gawalska, Alicja
,
Czub, Natalia
,
Sapa, Michał
,
Kołaczkowski, Marcin
,
Bucki, Adam
,
Mendyk, Aleksander
Published in
Molecular informatics
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