What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps

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

Be aware of error measures. Further studies on validation of predictive QSAR models

(2016) Kunal Roy et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Predicting persistence in the sediment compartment with a new automatic software based on the k -Nearest Neighbor ( k -NN) algorithm

(2016) Alberto Manganaro et al.   CHEMOSPHERE

Extrapolating between toxicity endpoints of metal oxide nanoparticles: Predicting toxicity to Escherichia coli and human keratinocyte cell line (HaCaT) with Nano-QTTR

(2016) Supratik Kar et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches

(2016) Ceyda Oksel et al.   Nanotoxicology

Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs

(2016) Yunsong Mu et al.   Nanotoxicology

Results of a round-robin exercise on read-across

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

An Experimental and Computational Approach to the Development of ZnO Nanoparticles that are Safe by Design

(2016) Tu C. Le et al.   Small

On a simple approach for determining applicability domain of QSAR models

(2015) Kunal Roy et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Quasi-QSAR for mutagenic potential of multi-walled carbon-nanotubes

(2015) Andrey A. Toropov et al.   CHEMOSPHERE

Toxicity of 11 Metal Oxide Nanoparticles to Three Mammalian Cell Types In V.itro

(2015) Angela Ivask et al.   CURRENT TOPICS IN MEDICINAL CHEMISTRY

(Q)SAR modelling of nanomaterial toxicity: A critical review

(2015) Ceyda Oksel et al.   Particuology

Using nano-QSAR to determine the most responsible factor(s) in gold nanoparticle exocytosis

(2015) Arafeh Bigdeli et al.   RSC Advances

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

Nano(Q)SAR: Challenges, pitfalls and perspectives

(2014) Ratna Tantra et al.   Nanotoxicology

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

Read-across approaches - misconceptions, promises and challenges ahead

(2014) Grace Patlewicz   ALTEX-Alternatives to Animal Experimentation

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

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

Toxicity of Ag, CuO and ZnO nanoparticles to selected environmentally relevant test organisms and mammalian cells in vitro: a critical review

(2013) Olesja Bondarenko et al.   ARCHIVES OF TOXICOLOGY

Integrative Chemical–Biological Read-Across Approach for Chemical Hazard Classification

(2013) Yen Low et al.   CHEMICAL RESEARCH IN TOXICOLOGY

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

Use of category approaches, read-across and (Q)SAR: General considerations

(2013) Grace Patlewicz et al.   REGULATORY TOXICOLOGY AND PHARMACOLOGY

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

The acceptance of in silico models for REACH: Requirements, barriers, and perspectives

(2011) Emilio Benfenati et al.   Chemistry Central Journal

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

Self-Organizing Map Analysis of Toxicity-Related Cell Signaling Pathways for Metal and Metal Oxide Nanoparticles

(2011) Robert Rallo et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient

(2011) Nicola Chirico et al.   Journal of Chemical Information and Modeling

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

Modeling Liver-Related Adverse Effects of Drugs UsingkNearest Neighbor Quantitative Structure−Activity Relationship Method

(2010) Amie D. Rodgers et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Best Practices for QSAR Model Development, Validation, and Exploitation

(2010) Alexander Tropsha   Molecular Informatics

Exploring the impact of size of training sets for the development of predictive QSAR models

(2007) Partha Pratim Roy et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS