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Tomasz Puzyn
Tomasz Puzyn
University of Gdansk, Faculty of Chemistry / Uniwersytet Gdański, Wydział Chemii
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
8302011
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
2852012
Toward the development of “nano‐QSARs”: advances and challenges
T Puzyn, D Leszczynska, J Leszczynski
Small 5 (22), 2494-2509, 2009
2842009
Recent advances in QSAR studies: methods and applications
T Puzyn, J Leszczynski, MT Cronin
Springer Science & Business Media, 2010
2512010
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
2172015
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
2022015
“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
1892015
QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells
AA Toropov, AP Toropova, T Puzyn, E Benfenati, G Gini, D Leszczynska, ...
Chemosphere 92 (1), 31-37, 2013
1622013
Organic pollutants ten years after the Stockholm convention: environmental and analytical update
T Puzyn, A Mostrag
BoD–Books on Demand, 2012
1472012
Calculation of quantum-mechanical descriptors for QSPR at the DFT level: is it necessary?
T Puzyn, N Suzuki, M Haranczyk, J Rak
Journal of chemical information and modeling 48 (6), 1174-1180, 2008
1412008
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
1282014
Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
AA Toropov, AP Toropova, E Benfenati, G Gini, T Puzyn, D Leszczynska, ...
Chemosphere 89 (9), 1098-1102, 2012
1232012
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
1162011
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
1142014
How should the completeness and quality of curated nanomaterial data be evaluated?
RLM Robinson, I Lynch, W Peijnenburg, J Rumble, F Klaessig, ...
Nanoscale 8 (19), 9919-9943, 2016
1122016
Enhanced photocatalytic properties of lanthanide-TiO2 nanotubes: An experimental and theoretical study
P Mazierski, W Lisowski, T Grzyb, MJ Winiarski, T Klimczuk, A Mikołajczyk, ...
Applied Catalysis B: Environmental 205, 376-385, 2017
1092017
NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
A Afantitis, G Melagraki, P Isigonis, A Tsoumanis, DD Varsou, ...
Computational and Structural Biotechnology Journal 18, 583-602, 2020
1082020
Towards FAIR nanosafety data
N Jeliazkova, MD Apostolova, C Andreoli, F Barone, A Barrick, ...
Nature Nanotechnology 16 (6), 644-654, 2021
1032021
Mercury content and its bioconcentration factors in wild mushrooms at Łukta and Morag, northeastern Poland
J Falandysz, K Lipka, M Kawano, A Brzostowski, M Dadej, A Jedrusiak, ...
Journal of agricultural and food chemistry 51 (9), 2832-2836, 2003
972003
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
952014
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