148
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Predicting cytotoxicity of engineered nanoparticles using regularized regression models: an in silico approach

, , , , , , , , , , , & show all
Pages 591-604 | Received 17 May 2023, Accepted 23 Jul 2023, Published online: 08 Aug 2023

References

  • NNI, About Nanotechnology. Available at https://www.nano.gov/about-nanotechnology.
  • NIOSH, Nanotechnology, 2020. Available at https://www.cdc.gov/niosh/topics/nanotech/default.html
  • J.K. Fard, S. Jafari, and M.A. Eghbal, A review of molecular mechanisms involved in toxicity of nanoparticles, Adv. Pharm. Bull. 5 (2015), pp. 447–454. doi:10.15171/apb.2015.061.
  • A. Sarkar, D. Sarkar, and K. Poddar, Nanotoxicity: Sources and effects on environment, Microbial. Nanobionics 2 (2019), pp. 169–179.
  • H. Shi, Y. Pan, F. Yang, J. Cao, X. Tan, B. Yuan, and J. Jiang, Nano-SAR modeling for predicting the cytotoxicity of metal oxide nanoparticles to PaCa2, Molecules 26 (2021), pp. 2188. doi:10.3390/molecules26082188.
  • H.I. Labouta, N. Asgarian, K. Rinker, and D.T. Cramb, Meta-analysis of nanoparticle cytotoxicity via data-mining the literature, ACS Nano 13 (2019), pp. 1583–1594. doi:10.1021/acsnano.8b07562.
  • OECD, Guidance document on the validation of (quantitative) structure-activity relationship [(Q)SAR] models, 2014. Available at https://doi.org/10.1787/9789264085442-en
  • G. Gul, R. Yildirim, and N. Ileri-Ercan, Cytotoxicity analysis of nanoparticles by association rule mining, Environ. Sci. 8 (2021), pp. 937–949.
  • B. Boehmke and B.M. Greenwell, Hands-On Machine Learning with R, 1st ed., Chapman and Hall/CRC, New York, 2019.
  • P.D. Allison, Missing Data, Sage Publications, USA, 2001.
  • S. Faisal and G. Tutz, Imputation methods for high-dimensional mixed-type datasets by nearest neighbors, Comput. Biol. Med. 135 (2021), pp. 104577. doi:10.1016/j.compbiomed.2021.104577.
  • J. Li, C. Wang, L. Yue, F. Chen, X. Cao, and Z. Wang, Nano-QSAR modeling for predicting the cytotoxicity of metallic and metal oxide nanoparticles: A review, Ecotox. Environ. Saf. 243 (2022), pp. 113955. doi:10.1016/j.ecoenv.2022.113955.
  • J. Lee and K. Park, GAN-based imbalanced data intrusion detection system, Pers. Ubiq. Comput. 25 (2021), pp. 121–128. doi:10.1007/s00779-019-01332-y.
  • T. Puzyn, B. Rasulev, A. Gajewicz, X. Hu, T.P. Dasari, A. Michalkova, H.-M. Hwang, A. Toropov, D. Leszczynska, and J. Leszczynski, Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles, Nat. Nanotechnol. 6 (2011), pp. 175–178. doi:10.1038/nnano.2011.10.
  • S. Kar, A. Gajewicz, T. Puzyn, K. Roy, and J. Leszczynski, Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach, Ecotox. Environ. Saf. 107 (2014), pp. 162–169. doi:10.1016/j.ecoenv.2014.05.026.
  • Y. Pan, T. Li, J. Cheng, D. Telesca, J.I. Zink, and J. Jiang, Nano-QSAR modeling for predicting the cytotoxicity of metal oxide nanoparticles using novel descriptors, RSC Adv. 6 (2016), pp. 25766–25775. doi:10.1039/C6RA01298A.
  • Z. Zhou, X. Tang, W. Dai, J. Shi, and H. Chen, Nano-QSAR models for predicting cytotoxicity of metal oxide nanoparticles (MONPs) to E. coli, Can. J. Chem. 95 (2017), pp. 863–866.
  • A. Gajewicz, N. Schaeublin, B. Rasulev, S. Hussain, D. Leszczynska, T. Puzyn, and J. Leszczynski, Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: Hints from nano-QSAR studies, Nanotoxicology 9 (2015), pp. 313–325. doi:10.3109/17435390.2014.930195.
  • A.A. Buglak, A.V. Zherdev, and B.B. Dzantiev, Nano-(Q) SAR for cytotoxicity prediction of engineered nanomaterials, Molecules 24 (2019), pp. 4537. doi:10.3390/molecules24244537.
  • N.A. Subramanian and A. Palaniappan, NanoTox: Development of a parsimonious in silico model for toxicity assessment of metal-oxide nanoparticles using physicochemical features, ACS Omega 6 (2021), pp. 11729–11739. doi:10.1021/acsomega.1c01076.
  • B.-H. Kim, H.C. Meeker, H.-Y. Shin, J.-I. Kim, B.-H. Jeong, E.-K. Choi, R.I. Carp, and Y.-S. Kim, Physiological properties of astroglial cell lines derived from mice with high (SAMP8) and low (SAMR1, ICR) levels of endogenous retrovirus, Retrovirology 5 (2008), pp. 1–18. doi:10.1186/1742-4690-5-104.
  • M. Gupta, Purification of naturally occurring biomatorials, in Natural-Based Polymers for Biomedical Applications, Rui L. Reis, Nuno M. Neves, João F. Mano, Manuela E. Gomes, Alexandra P. Marques, and Helena S. Azevedo, eds., Elsevier, Cambridge, England, 2008, pp. 54–84.
  • S.G. Mukherjee, N. O’Claonadh, A. Casey, and G. Chambers, Comparative in vitro cytotoxicity study of silver nanoparticle on two mammalian cell lines, Toxicol. Vitro 26 (2012), pp. 238–251. doi:10.1016/j.tiv.2011.12.004.
  • M.M. El-Sheekh and H.Y. El-Kassas, Algal production of nano-silver and gold: Their antimicrobial and cytotoxic activities: A review, J. Gen. Eng. Biotech. 14 (2016), pp. 299–310. doi:10.1016/j.jgeb.2016.09.008.
  • Y. Zhang, B. Newton, E. Lewis, P.P. Fu, R. Kafoury, P.C. Ray, and H. Yu, Cytotoxicity of organic surface coating agents used for nanoparticles synthesis and stability, Toxicol. Vitro 29 (2015), pp. 762–768. doi:10.1016/j.tiv.2015.01.017.
  • W. Lu, D. Senapati, S. Wang, O. Tovmachenko, A.K. Singh, H. Yu, and P.C. Ray, Effect of surface coating on the toxicity of silver nanomaterials on human skin keratinocytes, Chem. Phys. Lett. 487 (2010), pp. 92–96. doi:10.1016/j.cplett.2010.01.027.
  • D. McShan, P.C. Ray, and H. Yu, Molecular toxicity mechanism of nanosilver, J. Food Drug Anal. 22 (2014), pp. 116–127. doi:10.1016/j.jfda.2014.01.010.
  • A. Sani, C. Cao, and D. Cui, Toxicity of gold nanoparticles (AuNPs): A review, Biochem. Biophys. Rep. 26 (2021), pp. 100991. doi:10.1016/j.bbrep.2021.100991.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.