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Alicja Nowaczyk
Researcher at Nicolaus Copernicus University in Toruń
Publications - 53
Citations - 606
Alicja Nowaczyk is an academic researcher from Nicolaus Copernicus University in Toruń. The author has contributed to research in topics: Quantitative structure–activity relationship & Molecular descriptor. The author has an hindex of 12, co-authored 47 publications receiving 443 citations.
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Journal ArticleDOI
Quantitative structure-retention relationships models for prediction of high performance liquid chromatography retention time of small molecules: endogenous metabolites and banned compounds.
Krzysztof Goryński,Barbara Bojko,Alicja Nowaczyk,Adam Buciński,Janusz Pawliszyn,Roman Kaliszan +5 more
TL;DR: This paper provides a practical and effective method for analytical chemists working with LC/HRMS platforms to improve predictive confidence of studies that seek to identify small molecules.
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New alkyl-phosphate bonded stationary phases for liquid chromatographic separation of biologically active compounds
TL;DR: A new type of bonded stationary phase for liquid chromatography, with the properties of immobilized artificial membranes, has been synthesized and revealed that the adsorbents mimic the phospholipids present in natural cell membranes.
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Prediction of antimicrobial activity of imidazole derivatives by artificial neural networks
Małgorzata Wnuk,Michał Piotr Marszałł,Anna Zapęcka,Alicja Nowaczyk,Jerzy Krysiński,Jerzy Romaszko,Piotr Kawczak,Tomasz Bączek,Adam Buciński +8 more
TL;DR: Satisfactory and practically useful predictions of anti-Streptococcus pyogenes activity for a series of imidazole derivatives was obtained, supporting the future successful interpretation of QSAR analysis for those compounds.
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Design, synthesis and pharmacological evaluation of new 1-[3-(4-arylpiperazin-1-yl)-2-hydroxy-propyl]-3,3-diphenylpyrrolidin-2-one derivatives with antiarrhythmic, antihypertensive, and α-adrenolytic activity
TL;DR: It was found that the introduction of two phenyl ring substituents into the 3rd position of the pyrrolidin-2-one fragment gave compounds with affinity for both alpha(1)- and alpha(2)-AR, as well as their antiarrhythmic, and antihypertensive activities.
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Artificial neural networks in prediction of antifungal activity of a series of pyridine derivatives against Candida albicans.
Adam Buciński,Agnieszka Socha,Małgorzata Wnuk,Tomasz Bączek,Tomasz Bączek,Alicja Nowaczyk,Jerzy Krysiński,Krzysztof Goryński,Marcin Koba +8 more
TL;DR: A high correlation resulted between the ANN predicted antifungal activity and that one from biological experiments, log 1/MIC(exp), for the data used in the testing set of pyridine was obtained with correlation coefficient, R, on the level of 0.9112.