Follow
Agnieszka Gajewicz-Skretna
Agnieszka Gajewicz-Skretna
Assistant Professor, University of Gdansk
Verified email at ug.edu.pl
Title
Cited by
Cited by
Year
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
7862011
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
2712012
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
1962015
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
1912015
“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
1742015
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
1212014
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, 795-804, 2011
1132011
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
1062014
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
902014
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
722014
Nano-QSAR modeling for ecosafe design of heterogeneous TiO 2-based nano-photocatalysts
A Mikolajczyk, A Gajewicz, E Mulkiewicz, B Rasulev, M Marchelek, M Diak, ...
Environmental Science: Nano 5 (5), 1150-1160, 2018
642018
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
622017
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
612017
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
582013
A novel quantitative read-across tool designed purposefully to fill the existing gaps in nanosafety data
M Chatterjee, A Banerjee, P De, A Gajewicz-Skretna, K Roy
Environmental Science: Nano 9 (1), 189-203, 2022
562022
Nanomaterial grouping: Existing approaches and future recommendations
A Giusti, R Atluri, R Tsekovska, A Gajewicz, MD Apostolova, CL Battistelli, ...
NanoImpact 16, 100182, 2019
562019
How to judge whether QSAR/read-across predictions can be trusted: a novel approach for establishing a model's applicability domain
A Gajewicz
Environmental Science: Nano 5 (2), 408-421, 2018
562018
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
542018
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
512016
Size-dependent electronic properties of nanomaterials: How this novel class of nanodescriptors supposed to be calculated?
K Jagiello, B Chomicz, A Avramopoulos, A Gajewicz, A Mikolajczyk, ...
Structural Chemistry 28, 635-643, 2017
492017
The system can't perform the operation now. Try again later.
Articles 1–20