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Natalia Sizochenko
Researcher at Jackson State University
Publications - 41
Citations - 643
Natalia Sizochenko is an academic researcher from Jackson State University. The author has contributed to research in topics: Quantitative structure–activity relationship & Nanofluid. The author has an hindex of 13, co-authored 40 publications receiving 442 citations. Previous affiliations of Natalia Sizochenko include North Dakota State University & Dartmouth College.
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From basic physics to mechanisms of toxicity: the "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles
Natalia Sizochenko,Natalia Sizochenko,Bakhtiyor Rasulev,Agnieszka Gajewicz,Victor E. Kuz’min,Victor E. Kuz’min,Tomasz Puzyn,Jerzy Leszczynski +7 more
TL;DR: The developed nano-QSAR models were validated and reliably predict the toxicity of all studied metal oxide nanoparticles and suggest different mechanisms of nanotoxicity for these two types of cells.
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How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach
Natalia Sizochenko,Natalia Sizochenko,Natalia Sizochenko,Alicja Mikolajczyk,Alicja Mikolajczyk,Karolina Jagiello,Tomasz Puzyn,Jerzy Leszczynski,Bakhtiyor Rasulev,Bakhtiyor Rasulev +9 more
TL;DR: A hybrid quantitative multi-nano-read-across modeling technique that combines interspecies correlation analysis and self-organizing map analysis is developed that helps in predicting the toxicity of different species such as bacteria, algae, protozoa, and mammalian cell lines.
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Rutin as promising drug for the treatment of Parkinson’s disease: an assessment of MAO-B inhibitory potential by docking, molecular dynamics and DFT studies
Faizul Azam,Honiwa Suliman Abodabos,Ismail M. Taban,Abdalla R. Rfieda,Danish Mahmood,Jamir Anwar,Shamshir Khan,Natalia Sizochenko,Giulio Poli,Tiziano Tuccinardi,Hamed I. Ali +10 more
TL;DR: Inhibitors of monoamine oxidase (MAO)-B have been used for many years in the therapy of Parkinson's disease (PD) as mentioned in this paper, but due to the safety concerns of the currently used agents, the discovery of...
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Towards the Development of Global Nano-Quantitative Structure–Property Relationship Models: Zeta Potentials of Metal Oxide Nanoparticles
TL;DR: This work collected the largest dataset of zeta potential measurements of bare metal oxide nanoparticles in water and developed quantitative structure–property relationship (QSPR) models, which were analyzed and linked to aggregation effects in aqueous solutions.
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Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques
Natalia Sizochenko,Natalia Sizochenko,Michael Syzochenko,Michael Syzochenko,Natalja Fjodorova,Bakhtiyor Rasulev,Jerzy Leszczynski +6 more
TL;DR: A read-across approach that uses a combination of supervised and unsupervised machine learning techniques to fill the missing values of genotoxicity-related features of nanomaterials was introduced.