| scholarly article | Q13442814 |
| P356 | DOI | 10.1039/C6EN00399K |
| P50 | author | Agnieszka Gajewicz | Q39924061 |
| Tomasz Puzyn | Q41728850 | ||
| P2093 | author name string | J. Leszczynski | |
| K. Jagiello | |||
| M. T. D. Cronin | |||
| P2860 | cites work | A multi-stakeholder perspective on the use of alternative test strategies for nanomaterial safety assessment | Q23909862 |
| Concern-driven integrated approaches to nanomaterial testing and assessment--report of the NanoSafety Cluster Working Group 10 | Q28384830 | ||
| Quantitative nanostructure-activity relationship modeling | Q28385022 | ||
| Implementation of alternative test strategies for the safety assessment of engineered nanomaterials | Q28390126 | ||
| Use of metal oxide nanoparticle band gap to develop a predictive paradigm for oxidative stress and acute pulmonary inflammation | Q28392757 | ||
| ITS-NANO--prioritising nanosafety research to develop a stakeholder driven intelligent testing strategy. | Q28396439 | ||
| Optimal descriptor as a translator of eclectic data into endpoint prediction: mutagenicity of fullerene as a mathematical function of conditions. | Q30697213 | ||
| Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling | Q30710110 | ||
| Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticles | Q30722652 | ||
| Classification NanoSAR development for cytotoxicity of metal oxide nanoparticles | Q33859712 | ||
| Mapping the surface adsorption forces of nanomaterials in biological systems | Q35569111 | ||
| Toward the development of "nano-QSARs": advances and challenges | Q37605014 | ||
| Nanotechnology and human health: risks and benefits | Q37813550 | ||
| Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticles | Q37833114 | ||
| Advancing risk assessment of engineered nanomaterials: application of computational approaches | Q38015999 | ||
| Applying quantitative structure-activity relationship approaches to nanotoxicology: current status and future potential. | Q38060983 | ||
| Manufactured nanomaterials: categorization and approaches to hazard assessment | Q38261207 | ||
| Nanomaterial categorization for assessing risk potential to facilitate regulatory decision-making | Q38384527 | ||
| A decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping). | Q38394202 | ||
| Current and Future Perspectives on the Development, Evaluation, and Application of in Silico Approaches for Predicting Toxicity | Q38674424 | ||
| Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: hints from nano-QSAR studies | Q38979118 | ||
| Modeling biological activities of nanoparticles | Q39265233 | ||
| A strategy for structuring and reporting a read-across prediction of toxicity | Q40908403 | ||
| Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across | Q41728796 | ||
| Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles | Q43415971 | ||
| Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: a mechanistic QSTR approach | Q43630055 | ||
| Late lessons from early warnings for nanotechnology | Q47411624 | ||
| A critical appraisal of existing concepts for the grouping of nanomaterials. | Q51420432 | ||
| Modeling of p38 mitogen-activated protein kinase inhibitors using the Catalyst HypoGen and k-nearest neighbor QSAR methods. | Q51989805 | ||
| Novel variable selection quantitative structure--property relationship approach based on the k-nearest-neighbor principle | Q52082245 | ||
| From basic physics to mechanisms of toxicity: the "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles. | Q54279902 | ||
| A strategy for grouping of nanomaterials based on key physico-chemical descriptors as a basis for safer-by-design NMs | Q55167377 | ||
| Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells | Q57008918 | ||
| P433 | issue | 2 | |
| P921 | main subject | nanomaterial | Q967847 |
| P304 | page(s) | 346-358 | |
| P577 | publication date | 2017-01-01 | |
| P1433 | published in | Environmental science. Nano | Q27725339 |
| P1476 | title | Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available | |
| P478 | volume | 4 |
| Q47160505 | A Novel Experimental and Modelling Strategy for Nanoparticle Toxicity Testing Enabling the Use of Small Quantities |
| Q38658065 | Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials |
| Q38369992 | Nano-Lazar: Read across Predictions for Nanoparticle Toxicities with Calculated and Measured Properties |
| Q90746742 | NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment |
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