Use of metal/metal oxide spherical cluster and hydroxyl metal coordination complex for descriptor calculation in development of nanoparticle cytotoxicity classification model

H. K. Shin, K. Y. Kim, J. W. Park, K. T. No

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Computational approaches have been suggested as an informative tool for risk assessment of nanomaterials. Nano (quantitative) structure-activity relationship, nano-(Q)SAR, models have been developed to predict toxicity of metal oxide (MOx) nanoparticles (NPs); however, the packing structure and cluster of nanoparticle have been included for the descriptor calculation in only two studies. This study proposed spherical cluster and hydroxyl metal coordination complex to calculate descriptors for development of nanoparticle cytotoxicity classification model. The model cluster was generated from metal (M) or MOx crystal structure to calculate physicochemical properties of M/MOx NPs and the hydroxyl metal coordination complex was used to calculate the properties of the metal cation in an aqueous environment. Data were collected for 2 M and 19 MOx NPs in human bronchial epithelial cell lines and murine myeloid cell lines at 100 μg/ml after 24 hours exposure. The model was developed with scaled HOMO energy of the model cluster and polarizability of the hydroxyl metal coordination complex, as reactivity of the particles and the cations explained cause of cytotoxic action by M/MOx NPs. As the developed model achieved 90.31% accuracy, the classification model in this work can be used for virtual screening of toxic action of M/MOx NPs.

Original languageEnglish
Pages (from-to)875-888
Number of pages14
JournalSAR and QSAR in Environmental Research
Volume28
Issue number11
DOIs
Publication statusPublished - 2017 Nov 2

Bibliographical note

Funding Information:
This study was supported by the research project for Environmental Risk Assessment of Manufactured Nanomaterials (KK-1604-02) funded by the Korea Institute of Toxicology (KIT, Korea) and by the Brain Korea 21 (BK21) PLUS program.

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Molecular Medicine
  • Drug Discovery

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