Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available

Combined Experimental and Predictive Uncertainty of Quantitative Structure Property Relationship Models

(2016) Karsten Müller   CHEMICAL ENGINEERING & TECHNOLOGY

Current and Future Perspectives on the Development, Evaluation, and Application of in Silico Approaches for Predicting Toxicity

(2016) Grace Patlewicz et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Results of a round-robin exercise on read-across

(2016) E. Benfenati et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Nanomaterial Categorization for Assessing Risk Potential To Facilitate Regulatory Decision-Making

(2015) Hilary Godwin et al.   ACS Nano

A strategy for structuring and reporting a read-across prediction of toxicity

(2015) T.W. Schultz et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

A decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping)

(2015) Josje H.E. Arts et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

Manufactured nanomaterials: categorization and approaches to hazard assessment

(2014) Thomas Gebel et al.   ARCHIVES OF TOXICOLOGY

Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach

(2014) Supratik Kar et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

A strategy for grouping of nanomaterials based on key physico-chemical descriptors as a basis for safer-by-design NMs

(2014) Iseult Lynch et al.   Nano Today

From basic physics to mechanisms of toxicity: the “liquid drop” approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles

(2014) Natalia Sizochenko et al.   Nanoscale

Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across

(2014) Agnieszka Gajewicz et al.   NANOTECHNOLOGY

Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: Hints from nano-QSAR studies

(2014) Agnieszka Gajewicz et al.   Nanotoxicology

ITS-NANO - Prioritising nanosafety research to develop a stakeholder driven intelligent testing strategy

(2014) Vicki Stone et al.   Particle and Fibre Toxicology

A critical appraisal of existing concepts for the grouping of nanomaterials

(2014) Josje H.E. Arts et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

A framework to facilitate consistent characterization of read across uncertainty

(2014) Karen Blackburn et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells

(2014) Supratik Kar et al.   TOXICOLOGY IN VITRO

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

(2014) Kunwar P. Singh et al.   RSC Advances

A Multi-Stakeholder Perspective on the Use of Alternative Test Strategies for Nanomaterial Safety Assessment

(2013) Andre E. Nel et al.   ACS Nano

Optimal descriptor as a translator of eclectic data into endpoint prediction: Mutagenicity of fullerene as a mathematical function of conditions

(2013) Andrey A. Toropov et al.   CHEMOSPHERE

Implementation of alternative test strategies for the safety assessment of engineered nanomaterials

(2013) A. E. Nel   JOURNAL OF INTERNAL MEDICINE

Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticles

(2013) Kavitha Pathakoti et al.   JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY

Concern-driven integrated approaches to nanomaterial testing and assessment – report of the NanoSafety Cluster Working Group 10

(2013) Agnes G. Oomen et al.   Nanotoxicology

Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling

(2013) L. Lubinski et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Use of Metal Oxide Nanoparticle Band Gap To Develop a Predictive Paradigm for Oxidative Stress and Acute Pulmonary Inflammation

(2012) Haiyuan Zhang et al.   ACS Nano

Advancing risk assessment of engineered nanomaterials: Application of computational approaches

(2012) Agnieszka Gajewicz et al.   ADVANCED DRUG DELIVERY REVIEWS

Modeling Biological Activities of Nanoparticles

(2012) V. Chandana Epa et al.   NANO LETTERS

Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential

(2012) David A. Winkler et al.   TOXICOLOGY

Mapping the Surface Adsorption Forces of Nanomaterials in Biological Systems

(2011) Xin R. Xia et al.   ACS Nano

Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles

(2011) Denis Fourches et al.   COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING

Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

(2011) Tomasz Puzyn et al.   Nature Nanotechnology

Classification NanoSAR Development for Cytotoxicity of Metal Oxide Nanoparticles

(2011) Rong Liu et al.   Small

Quantitative Nanostructure−Activity Relationship Modeling

(2010) Denis Fourches et al.   ACS Nano

Nanotechnology and human health: risks and benefits

(2010) Anna Giulia Cattaneo et al.   JOURNAL OF APPLIED TOXICOLOGY

Science policy considerations for responsible nanotechnology decisions

(2010) Jeff Morris et al.   Nature Nanotechnology

Toward the Development of “Nano-QSARs”: Advances and Challenges

(2009) Tomasz Puzyn et al.   Small

Late lessons from early warnings for nanotechnology

(2008) Steffen Foss Hansen et al.   Nature Nanotechnology