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Natalia Sizochenko - Publications

Affiliations: 
Department of Computer Science Dartmouth College, Hanover, NH, United States 
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Sizochenko N, Mikolajczyk A, Syzochenko M, Puzyn T, Leszczynski J. Zeta potentials (ζ) of metal oxide nanoparticles: A meta-analysis of experimental data and a predictive neural networks modeling. Nanoimpact. 22: 100317. PMID 35559974 DOI: 10.1016/j.impact.2021.100317  0.388
2021 Toropova AP, Toropov AA, Leszczynski J, Sizochenko N. Using quasi-SMILES for the predictive modeling of the safety of 574 metal oxide nanoparticles measured in different experimental conditions. Environmental Toxicology and Pharmacology. 103665. PMID 33895354 DOI: 10.1016/j.etap.2021.103665  0.405
2021 Sizochenko N, Mikolajczyk A, Syzochenko M, Puzyn T, Leszczynski J. Zeta potentials (ζ) of metal oxide nanoparticles: A meta-analysis of experimental data and a predictive neural networks modeling Nanoimpact. 22: 100317. DOI: 10.1016/J.IMPACT.2021.100317  0.337
2020 Toropov AA, Sizochenko N, Toropova AP, Leszczynska D, Leszczynski J. Advancement of predictive modeling of zeta potentials (ζ) in metal oxide nanoparticles with correlation intensity index (CII) Journal of Molecular Liquids. 317: 113929. DOI: 10.1016/J.Molliq.2020.113929  0.383
2019 Sizochenko N, Syzochenko M, Fjodorova N, Rasulev B, Leszczynski J. Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques. Ecotoxicology and Environmental Safety. 185: 109733. PMID 31580980 DOI: 10.1016/J.Ecoenv.2019.109733  0.602
2019 Mikolajczyk A, Sizochenko N, Mulkiewicz E, Malankowska A, Rasulev B, Puzyn T. A chemoinformatics approach for the characterization of hybrid nanomaterials: safer and efficient design perspective. Nanoscale. 11: 11808-11818. PMID 31184677 DOI: 10.1039/C9Nr01162E  0.616
2019 Petrosyan LS, Sizochenko N, Leszczynski J, Rasulev B. Modeling of Glass Transition Temperatures for Polymeric Coating Materials: Application of QSPR Mixture-based Approach. Molecular Informatics. PMID 30945811 DOI: 10.1002/Minf.201800150  0.552
2019 Kuz'min VE, Ognichenko LN, Sizochenko N, Chapkin VA, Stelmakh SI, Shyrykalova AO, Leszczynski J. Combining Features of Metal Oxide Nanoparticles International Journal of Quantitative Structure-Property Relationships. 4: 28-40. DOI: 10.4018/IJQSPR.2019010103  0.396
2018 Golbamaki A, Golbamaki N, Sizochenko N, Rasulev B, Leszczynski J, Benfenati E. Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties. Nanotoxicology. 1-17. PMID 29888633 DOI: 10.1080/17435390.2018.1478999  0.598
2018 Toropov AA, Sizochenko N, Toropova AP, Leszczynski J. Towards the Development of Global Nano-Quantitative Structure-Property Relationship Models: Zeta Potentials of Metal Oxide Nanoparticles. Nanomaterials (Basel, Switzerland). 8. PMID 29662037 DOI: 10.3390/Nano8040243  0.407
2018 Sizochenko N, Mikolajczyk A, Jagiello K, Puzyn T, Leszczynski J, Rasulev B. How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach. Nanoscale. 10: 582-591. PMID 29168526 DOI: 10.1039/C7Nr05618D  0.648
2017 Mikolajczyk A, Sizochenko N, Mulkiewicz E, Malankowska A, Nischk M, Jurczak P, Hirano S, Nowaczyk G, Zaleska-Medynska A, Leszczynski J, Gajewicz A, Puzyn T. Evaluating the toxicity of TiO2-based nanoparticles to Chinese hamster ovary cells and Escherichia coli: a complementary experimental and computational approach. Beilstein Journal of Nanotechnology. 8: 2171-2180. PMID 29114443 DOI: 10.3762/Bjnano.8.216  0.372
2017 Sizochenko N, Leszczynska D, Leszczynski J. Modeling of Interactions between the Zebrafish Hatching Enzyme ZHE1 and A Series of Metal Oxide Nanoparticles: Nano-QSAR and Causal Analysis of Inactivation Mechanisms. Nanomaterials (Basel, Switzerland). 7. PMID 29035311 DOI: 10.3390/Nano7100330  0.409
2017 Gooch A, Sizochenko N, Sviatenko L, Gorb L, Leszczynski J. A quantum chemical based toxicity study of estimated reduction potential and hydrophobicity in series of nitroaromatic compounds. Sar and Qsar in Environmental Research. 28: 133-150. PMID 28235392 DOI: 10.1080/1062936X.2017.1286687  0.308
2017 Gooch A, Sizochenko N, Rasulev B, Gorb L, Leszczynski J. In vivo toxicity of nitroaromatics: A comprehensive quantitative structure-activity relationship study. Environmental Toxicology and Chemistry. 36: 2227-2233. PMID 28169452 DOI: 10.1002/Etc.3761  0.583
2016 Sizochenko N, Gajewicz A, Leszczynski J, Puzyn T. Causation or only correlation? Application of causal inference graphs for evaluating causality in nano-QSAR models. Nanoscale. 8: 7203-8. PMID 26972917 DOI: 10.1039/C5Nr08279J  0.363
2016 Watkins M, Sizochenko N, Rasulev B, Leszczynski J. Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach. Journal of Molecular Modeling. 22: 55. PMID 26874948 DOI: 10.1007/S00894-016-2917-0  0.56
2016 Sizochenko N, Leszczynski J. Review of Current and Emerging Approaches for Quantitative Nanostructure-Activity Relationship Modeling Journal of Nanotoxicology and Nanomedicine. 1: 1-16. DOI: 10.4018/JNN.2016010101  0.408
2016 Golbamaki A, Golbamaki N, Sizochenko N, Rasulev B, Cassano A, Puzyn T, Leszczynski J, Benfenati E. P17-030Classification nano-SAR modeling of metal oxides nanoparticles genotoxicity based on comet assay data Toxicology Letters. 258. DOI: 10.1016/J.Toxlet.2016.06.1950  0.603
2016 Watkins M, Sizochenko N, Rasulev B, Leszczynski J. Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach Journal of Molecular Modeling. 22: 1-14. DOI: 10.1007/s00894-016-2917-0  0.509
2015 Yilmaz H, Sizochenko N, Rasulev B, Toropov A, Guzel Y, Kuz'min V, Leszczynska D, Leszczynski J. Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure-activity relationship approaches. Journal of Food and Drug Analysis. 23: 168-175. PMID 28911371 DOI: 10.1016/J.Jfda.2015.03.001  0.571
2015 Sizochenko N, Rasulev B, Gajewicz A, Mokshyna E, Kuz'min VE, Leszczynski J, Puzyn T. Causal inference methods to assist in mechanistic interpretation of classification nano-SAR models Rsc Advances. 5: 77739-77745. DOI: 10.1039/C5Ra11399G  0.643
2015 Sizochenko N, Jagiello K, Leszczynski J, Puzyn T. How the “Liquid Drop” Approach Could Be Efficiently Applied for Quantitative Structure–Property Relationship Modeling of Nanofluids Journal of Physical Chemistry C. 119: 25542-25547. DOI: 10.1021/Acs.Jpcc.5B05759  0.362
2015 Yilmaz H, Sizochenko N, Rasulev B, Toropov A, Guzel Y, Kuz'Min V, Leszczynska D, Leszczynski J. Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure-activity relationship approaches Journal of Food and Drug Analysis. 23: 168-175. DOI: 10.1016/j.jfda.2015.03.001  0.509
2015 Sizochenko N, Kuz’min V, Ognichenko L, Leszczynski J. Introduction of simplex-informational descriptors for QSPR analysis of fullerene derivatives Journal of Mathematical Chemistry. 54: 698-706. DOI: 10.1007/S10910-015-0581-8  0.302
2014 Sizochenko N, Rasulev B, Gajewicz A, Kuz'min V, Puzyn T, Leszczynski J. From basic physics to mechanisms of toxicity: the "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles. Nanoscale. 6: 13986-93. PMID 25317542 DOI: 10.1039/C4Nr03487B  0.644
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