Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory
Author:
Affiliation:
1. LAQV@REQUIMTE/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto, Portugal;
2. Faculty of Technology and Production Management, Moscow State University of Food Production, Moscow, Russia
Funder
Fundação para a Ciência e a Tecnologia
FEDER
Publisher
Informa UK Limited
Subject
Toxicology,Biomedical Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/17435390.2017.1379567
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1. Toxic response of nickel nanoparticles in human lung epithelial A549 cells
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3. Nickel oxide nanoparticles exert cytotoxicity via oxidative stress and induce apoptotic response in human liver cells (HepG2)
4. Genotoxic potential of copper oxide nanoparticles in human lung epithelial cells
5. Exposure to Cerium Dioxide Nanoparticles Differently Affect Swimming Performance and Survival in Two Daphnid Species
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