Agnieszka Gajewicz
Agnieszka Gajewicz
Assistant Professor, University of Gdansk
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Cited by
Cited by
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
T Puzyn, B Rasulev, A Gajewicz, X Hu, TP Dasari, A Michalkova, ...
Nature nanotechnology 6 (3), 175-178, 2011
Advancing risk assessment of engineered nanomaterials: Application of computational approaches
A Gajewicz, B Rasulev, TC Dinadayalane, P Urbaszek, T Puzyn, ...
Advanced drug delivery reviews 64 (15), 1663-1693, 2012
Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: Hints from nano-QSAR studies
A Gajewicz, N Schaeublin, B Rasulev, S Hussain, D Leszczynska, ...
Nanotoxicology 9 (3), 313-325, 2015
Zeta potential for metal oxide nanoparticles: a predictive model developed by a nano-quantitative structure–property relationship approach
A Mikolajczyk, A Gajewicz, B Rasulev, N Schaeublin, E Maurer-Gardner, ...
Chemistry of Materials 27 (7), 2400-2407, 2015
“NanoBRIDGES” software: open access tools to perform QSAR and nano-QSAR modeling
P Ambure, RB Aher, A Gajewicz, T Puzyn, K Roy
Chemometrics and Intelligent Laboratory Systems 147, 1-13, 2015
Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in …
S Kar, A Gajewicz, T Puzyn, K Roy
Toxicology in Vitro 28 (4), 600-606, 2014
Investigating the influence of data splitting on the predictive ability of QSAR/QSPR models
T Puzyn, A Mostrag-Szlichtyng, A Gajewicz, M Skrzyński, AP Worth
Structural Chemistry 22 (4), 795-804, 2011
From basic physics to mechanisms of toxicity: The “liquid drop” approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles
N Sizochenko, B Rasulev, A Gajewicz, V Kuz'min, T Puzyn, J Leszczynski
Nanoscale 6 (22), 13986-13993, 2014
Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach
S Kar, A Gajewicz, T Puzyn, K Roy, J Leszczynski
Ecotoxicology and Environmental Safety 107, 162-169, 2014
Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across
A Gajewicz, MTD Cronin, B Rasulev, J Leszczynski, T Puzyn
Nanotechnology 26 (1), 015701, 2014
Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling
L Lubinski, P Urbaszek, A Gajewicz, MTD Cronin, SJ Enoch, JC Madden, ...
SAR and QSAR in Environmental Research 24 (12), 995-1008, 2013
Metal oxide nanoparticles: size-dependence of quantum-mechanical properties
A Gajewicz, T Puzyn, B Rasulev, D Leszczynska, J Leszczynski
Nanoscience & Nanotechnology-Asia 1 (1), 53-58, 2011
Extrapolating between toxicity endpoints of metal oxide nanoparticles: Predicting toxicity to Escherichia coli and human keratinocyte cell line (HaCaT) with Nano-QTTR
S Kar, A Gajewicz, K Roy, J Leszczynski, T Puzyn
Ecotoxicology and environmental safety 126, 238-244, 2016
Predicting logarithmic values of the subcooled liquid vapor pressure of halogenated persistent organic pollutants with QSPR: How different are chlorinated and brominated congeners?
A Gajewicz, M Haranczyk, T Puzyn
Atmospheric Environment 44 (11), 1428-1436, 2010
What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps
A Gajewicz
Nanoscale 9 (24), 8435-8448, 2017
Nanomaterials–the next great challenge for QSAR modelers
T Puzyn, A Gajewicz, D Leszczynska, J Leszczynski
Recent advances in QSAR studies, 383-409, 2010
Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available
A Gajewicz, K Jagiello, MTD Cronin, J Leszczynski, T Puzyn
Environmental Science: Nano 4 (2), 346-358, 2017
Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme
A Gajewicz, T Puzyn, K Odziomek, P Urbaszek, A Haase, C Riebeling, ...
Nanotoxicology 12 (1), 1-17, 2018
Combined experimental and computational approach to developing efficient photocatalysts based on Au/Pd–TiO 2 nanoparticles
A Mikolajczyk, A Malankowska, G Nowaczyk, A Gajewicz, S Hirano, ...
Environmental Science: Nano 3 (6), 1425-1435, 2016
Predicting enthalpy of vaporization for Persistent Organic Pollutants with Quantitative Structure–Property Relationship (QSPR) incorporating the influence of temperature on …
A Sosnowska, M Barycki, K Jagiello, M Haranczyk, A Gajewicz, T Kawai, ...
Atmospheric Environment 87, 10-18, 2014
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