Development of valuable predictive read-across models based on “real-life” (sparse) nanotoxicity data
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Development of valuable predictive read-across models based on “real-life” (sparse) nanotoxicity data
Authors
Keywords
-
Journal
Environmental Science-Nano
Volume 4, Issue 6, Pages 1389-1403
Publisher
Royal Society of Chemistry (RSC)
Online
2017-05-02
DOI
10.1039/c7en00102a
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- 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
- Results of a round-robin exercise on read-across
- (2016) E. Benfenati et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Toxicity of cobalt oxide nanoparticles to normal cells; an in vitro and in vivo study
- (2015) Sourav Chattopadhyay et al. CHEMICO-BIOLOGICAL INTERACTIONS
- On a simple approach for determining applicability domain of QSAR models
- (2015) Kunal Roy et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
- (2015) Alla P. Toropova et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- Toxicity of Metal Oxide Nanoparticles in Escherichia coli Correlates with Conduction Band and Hydration Energies
- (2015) Chitrada Kaweeteerawat et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- A strategy for structuring and reporting a read-across prediction of toxicity
- (2015) T.W. Schultz et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Nanotoxicology of Metal Oxide Nanoparticles
- (2015) Amedea Seabra et al. Metals
- Surface Chemistry of Gold Nanoparticles Mediates Their Exocytosis in Macrophages
- (2014) Nuri Oh et al. ACS Nano
- Principal component analysis
- (2014) Rasmus Bro et al. Analytical Methods
- 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
- Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides
- (2014) Alla P. Toropova et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- 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
- A framework to facilitate consistent characterization of read across uncertainty
- (2014) Karen Blackburn et al. REGULATORY TOXICOLOGY AND PHARMACOLOGY
- Automated and reproducible read-across like models for predicting carcinogenic potency
- (2014) Elena Lo Piparo 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
- 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
- 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
- Applicability Domain Dependent Predictive Uncertainty in QSAR Regressions
- (2013) U. Sahlin et al. Molecular Informatics
- 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
- 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
- Optimally splitting cases for training and testing high dimensional classifiers
- (2011) Kevin K Dobbin et al. BMC Medical Genomics
- Further exploring rm2 metrics for validation of QSPR models
- (2011) Probir Kumar Ojha et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- 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
- Quantitative Read-Across for Predicting the Acute Fish Toxicity of Organic Compounds
- (2011) Gerrit Schüürmann 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
- Nanotechnology and human health: risks and benefits
- (2010) Anna Giulia Cattaneo et al. JOURNAL OF APPLIED TOXICOLOGY
- Best Practices for QSAR Model Development, Validation, and Exploitation
- (2010) Alexander Tropsha Molecular Informatics
- In vitro evaluation of cytotoxicity of engineered metal oxide nanoparticles
- (2009) Xiaoke Hu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Formation of Structural Categories to Allow for Read-Across for Teratogenicity
- (2009) Steven J. Enoch et al. Quantitative structure-activity relationships & combinatorial science
- Formation of Categories from Structure−Activity Relationships To Allow Read-Across for Risk Assessment: Toxicity of α,β-Unsaturated Carbonyl Compounds
- (2008) Yana K. Koleva et al. CHEMICAL RESEARCH IN TOXICOLOGY
- Chemical reactivity indices and mechanism-based read-across for non-animal based assessment of skin sensitisation potential
- (2007) David W. Roberts et al. JOURNAL OF APPLIED TOXICOLOGY
- Development and Evaluation of a QSPR Model for the Prediction of Diamagnetic Susceptibility
- (2007) Antreas Afantitis et al. Quantitative structure-activity relationships & combinatorial science
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started