Journal
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
Volume 18, Issue 4, Pages 365-375Publisher
BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1386207318666150306105525
Keywords
QSAR; nano-QSAR; nanomaterial; nanoparticle uptake; surface modification
Funding
- National Science Foundation
- Environmental Protection Agency [DBI-0830117]
- European Union (project MODERN EU FP7) [309314]
- Generalitat de Catalunya [2014 SGR 1352]
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Quantitative structure-activity relationships (QSARs) were developed, for cellular uptake of nanoparticles (NPs) of the same iron oxide core but with different surface-modifying organic molecules, based on linear and non-linear (epsilon support vector regression (epsilon-SVR)). A linear QSAR provided high prediction accuracy of R-2=0.751 (coefficient of determination) using 11 descriptors selected from an initial pool of 184 descriptors calculated for the NP surface-modifying molecules, while a epsilon-SVR based QSAR with only 6 descriptors improved prediction accuracy to R-2 = 0.806. The linear and epsilon-SVR based QSARs both demonstrated good robustness and well spanned applicability domains. It is suggested that the approach of evaluating pertinent descriptors and their significance, via QSAR analysis, to cellular NP uptake could support planning and interpretation of toxicity studies as well as provide guidance for the tailor-design NPs with respect to targeted cellular uptake for various applications.
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