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References from NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment. Local targets link to admitted publications; unresolved targets remain external evidence.
A nanoinformatics decision support tool for the virtual screening of gold nanoparticle cellular association using protein corona fingerprints
10.1080/17435390.2018.1504998 · 2018 · External reference
10.1021/nn4061012
10.1021/nn4061012 · External reference
Beware of R2: simple, unambiguous assessment of the prediction accuracy of QSAR and QSPR models
10.1021/acs.jcim.5b00206 · 2015 · External reference
Specific toxicity and crystallinity of α-quartz in respirable dust samples
10.1080/15428110208984724 · 2002 · External reference
Oxidative damage induced by nano-titanium dioxide in rats and mice: a systematic review and meta-analysis
2019 · External reference
Unresolved reference
2015 · External reference
TH REVISION“The SCCS note of Guidance for the testing of cosmetic ingredients and their safety evaluation – 10th Revision” SCCS/1602/18 - Final version
2018 · External reference
Systematic optimization of a force field for classical simulations of TiO 2 –water interfaces
10.1021/acs.jpcc.5b02669 · 2015 · External reference
An optimal self-pruning neural network and nonlinear descriptor selection in QSAR
10.1002/qsar.200810202 · 2009 · External reference
10.3109/17435390.2010.502980
10.3109/17435390.2010.502980 · External reference
10.1039/c8nr05220d
10.1039/c8nr05220d · External reference
Intrinsic and extrinsic properties affecting innate immune responses to nanoparticles: the case of cerium oxide
2017 · External reference
10.1002/anie.200700465
10.1002/anie.200700465 · External reference
Unresolved reference
2010 · External reference
Visualization of transport and fate of nano and micro-scale particles in porous media: modeling coupled effects of ionic strength and size
10.1039/c6en00558f · 2017 · External reference
Unresolved reference
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Best practice in reporting corona studies: minimum information about nanomaterial biocorona experiments (MINBE)
2019 · External reference
Jaqpot Quattro: a novel computational web platform for modeling and analysis in nanoinformatics
10.1021/acs.jcim.7b00223 · 2017 · External reference
Integrating expert knowledge with data in Bayesian networks: preserving data-driven expectations when the expert variables remain unobserved
10.1016/j.eswa.2016.02.050 · 2016 · External reference
The need for in situcharacterisation in nanosafety assessment: funded transnational access via the QNano research infrastructure
10.3109/17435390.2012.658096 · 2012 · External reference
Nanoparticle-induced unfolding of fibrinogen promotes Mac-1 receptor activation and inflammation
10.1038/nnano.2010.250 · 2011 · External reference
Direct observation of a single nanoparticle-ubiquitin corona formation
10.1039/c3nr02147e · 2013 · External reference
Protein corona composition does not accurately predict hematocompatibility of colloidal gold nanoparticles
10.1016/j.nano.2014.01.009 · 2014 · External reference
Nanotoxicity: challenging the myth of nano-specific toxicity
10.1016/j.copbio.2013.05.003 · 2013 · External reference
10.2903/j.efsa.2018.5327
10.2903/j.efsa.2018.5327 · External reference
Unresolved reference
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10.1038/s41565-018-0185-0
10.1038/s41565-018-0185-0 · External reference
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10.1039/c7en00466d
10.1039/c7en00466d · External reference
10.1021/jp502624n
10.1021/jp502624n · External reference
Importance of choosing relevant biological end points to predict nanoparticle toxicity with computational approaches for human health risk assessment
10.1021/acs.chemrestox.9b00022 · 2019 · External reference
A robust and accurate method for feature selection and prioritization from multi-class OMICs data
10.1371/journal.pone.0107801 · 2014 · External reference
Role of omics techniques in the toxicity testing of nanoparticles
10.1186/s12951-017-0320-3 · 2017 · External reference
Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available
10.1039/c6en00399k · 2017 · External reference
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
10.1039/c7nr02211e · 2017 · External reference
10.1039/c5bm00134j
10.1039/c5bm00134j · External reference
Physicochemical properties of nanomaterials: implication in associated toxic manifestations
10.1155/2014/498420 · 2014 · External reference
A meta-analysis of carbon nanotube pulmonary toxicity studies-how physical dimensions and impurities affect the toxicity of carbon nanotubes
10.1111/risa.12109 · 2014 · External reference
A review of workplace risk management measures for nanomaterials to mitigate inhalation and dermal exposure
10.1093/annweh/wxy032 · 2018 · External reference
10.1021/bc049951i
10.1021/bc049951i · External reference
Toward the replacement of animal experiments through the bioinformatics-driven analysis of ‘omics’ data from human cell cultures
10.1177/026119291504300506 · 2015 · External reference
10.1080/09537325.2012.715491
10.1080/09537325.2012.715491 · External reference
Toxicity classification of oxide nanomaterials: effects of data gap filling and pchem score-based screening approaches
10.1038/s41598-018-21431-9 · 2018 · External reference
Unresolved reference
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Influence of dispersion medium on nanomaterial-induced pulmonary inflammation and DNA strand breaks: investigation of carbon black, carbon nanotubes and three titanium dioxide nanoparticles
10.1093/mutage/gex042 · 2017 · External reference
eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
10.1186/s13326-015-0005-5 · 2015 · External reference
InChI - the worldwide chemical structure identifier standard
10.1186/1758-2946-5-7 · 2013 · External reference
The Nanomaterial data curation initiative: a collaborative approach to assessing, evaluating, and advancing the state of the field
10.3762/bjnano.6.179 · 2015 · External reference
10.1093/nar/gku955
10.1093/nar/gku955 · External reference
Surface PEGylation suppresses pulmonary effects of CuO in allergen-induced lung inflammation
10.1186/s12989-019-0309-1 · 2019 · External reference
10.1073/pnas.1000138107
10.1073/pnas.1000138107 · External reference
FAIR principles: interpretations and implementation considerations
10.1162/dint_r_00024 · 2020 · External reference
Size-dependent electronic properties of nanomaterials: How this novel class of nanodescriptors supposed to be calculated?
10.1007/s11224-016-0838-2 · 2017 · External reference
Advantages and limitations of classic and 3D QSAR approaches in nano-QSAR studies based on biological activity of fullerene derivatives
10.1007/s11051-016-3564-1 · 2016 · External reference
Comparison of geometrical layouts for a multi-box aerosol model from a single-chamber dispersion study
10.3390/environments5050052 · 2018 · External reference
Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: a mechanistic QSTR approach
2014 · External reference
10.1007/s11837-006-0147-0
10.1007/s11837-006-0147-0 · External reference
10.1016/j.impact.2017.11.002
10.1016/j.impact.2017.11.002 · External reference
10.1016/j.toxlet.2009.03.014
10.1016/j.toxlet.2009.03.014 · External reference
Bare surface of gold nanoparticle induces inflammation through unfolding of plasma fibrinogen
10.1038/s41598-018-30915-7 · 2018 · External reference
10.1021/acsnano.6b05652
10.1021/acsnano.6b05652 · External reference
Network analysis reveals similar transcriptomic responses to intrinsic properties of carbon nanomaterials in vitro and in vivo
10.1021/acsnano.6b08650 · 2017 · External reference
A systematic approach for evaluating the quality of experimental toxicological and ecotoxicological data
10.1006/rtph.1996.1076 · 1997 · External reference
10.1111/bcpt.12257
10.1111/bcpt.12257 · External reference
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
10.1038/ncomms15932 · 2017 · External reference
Workplace performance of a loose-fitting powered air purifying respirator during nanoparticle synthesis
10.1007/s11051-015-2990-9 · 2015 · External reference
10.1007/s10822-008-9179-6
10.1007/s10822-008-9179-6 · External reference
Nano-risk science: application of toxicogenomics in an adverse outcome pathway framework for risk assessment of multi-walled carbon nanotubes
10.1186/s12989-016-0125-9 · 2015 · External reference
Meta-analysis of nanoparticle cytotoxicity via data-mining the literature
2019 · External reference
Perspectives on the simulation of protein-surface interactions using empirical force field methods
10.1016/j.colsurfb.2014.06.050 · 2014 · External reference
10.1021/cr200066h
10.1021/cr200066h · External reference
Effect of the protein corona on nanoparticles for modulating cytotoxicity and immunotoxicity
2014 · External reference
An ecotoxicological view on neurotoxicity assessment
10.1186/s12302-018-0173-x · 2018 · External reference
On the issue of transparency and reproducibility in nanomedicine
10.1038/s41565-019-0496-9 · 2019 · External reference
10.1021/nl0722929
10.1021/nl0722929 · External reference
10.3762/bjnano.6.149
10.3762/bjnano.6.149 · External reference
Ultrafine particulate pollutants induce oxidative stress and mitochondrial damage
10.1289/ehp.6000 · 2003 · External reference
10.1039/c5nr01537e
10.1039/c5nr01537e · External reference
Unresolved reference
2017 · External reference
Coarse-grained model of adsorption of blood plasma proteins onto nanoparticles
10.1063/1.4936908 · 2015 · External reference
Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling
10.1080/1062936x.2013.840679 · 2013 · External reference
The evolution of the protein corona around nanoparticles: a test study
10.1021/nn202458g · 2011 · External reference
Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts
10.1073/pnas.0805135105 · 2008 · External reference
10.1016/j.physa.2006.06.008
10.1016/j.physa.2006.06.008 · External reference
10.1007/978-3-319-56850-8_10
10.1007/978-3-319-56850-8_10 · External reference
Detecting cryptic epitopes created by nanoparticles
2006 · External reference
A strategy for grouping of nanomaterials based on key physico-chemical descriptors as a basis for safer-by-design NMs
10.1016/j.nantod.2014.05.001 · 2014 · External reference
QSAR model for predicting cell viability of human embryonic kidney cells exposed to SiO2 nanoparticles
10.1016/j.chemosphere.2015.09.086 · 2016 · External reference
In silico design of optimal dissolution kinetics of fe-doped ZnO nanoparticles results in cancer-specific toxicity in a preclinical rodent model
10.1002/adhm.201601379 · 2017 · External reference
10.1039/c5nr08944a
10.1039/c5nr08944a · External reference
INfORM: inference of network response modules
2018 · External reference
eUTOPIA: solUTion for omics data preprocessing and analysis
10.1186/s13029-019-0071-7 · 2019 · External reference
10.12688/aasopenres.12882.2
10.12688/aasopenres.12882.2 · External reference
Unresolved reference
External reference
A risk assessment tool for the virtual screening of metal oxide nanoparticles through Enalos InSilicoNano Platform
10.2174/1568026615666150506144536 · 2015 · External reference
Enalos InSilicoNano platform: an online decision support tool for the design and virtual screening of nanoparticles
10.1039/c4ra07756c · 2014 · External reference
Zeta potential for metal oxide nanoparticles: a predictive model developed by a nano-quantitative structure-property relationship approach
10.1021/cm504406a · 2015 · External reference
10.3762/bjnano.6.161
10.3762/bjnano.6.161 · External reference
Macrophage sensing of single-walled carbon nanotubes via Toll-like receptors
10.1038/s41598-018-19521-9 · 2018 · External reference
Characterization of nanoparticle batch-to-batch variability
10.3390/nano8050311 · 2018 · External reference
pH-dependent toxicity of high aspect ratio ZnO nanowires in macrophages due to intracellular dissolution
10.1021/nn101192z · 2010 · External reference
A tractable method for measuring nanomaterial risk using bayesian networks
10.1186/s11671-016-1724-y · 2016 · External reference
Diameter and rigidity of multiwalled carbon nanotubes are critical factors in mesothelial injury and carcinogenesis
10.1073/pnas.1110013108 · 2011 · External reference
Drug repositioning: a machine-learning approach through data integration
10.1186/1758-2946-5-30 · 2013 · External reference
Meta-analysis of transcriptomic responses as a means to identify pulmonary disease outcomes for engineered nanomaterials
10.1186/s12989-016-0137-5 · 2015 · External reference
Unresolved reference
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Toward rigorous materials production: new approach methodologies have extensive potential to improve current safety assessment practices
10.1002/smll.201904749 · 2020 · External reference
Toxic and genomic influences of inhaled nanomaterials as a basis for predicting adverse outcome
10.1513/annalsats.201706-478mg · 2018 · External reference
A data fusion pipeline for generating and enriching adverse outcome pathway descriptions
10.1093/toxsci/kfx252 · 2018 · External reference
Manufactured nanomaterials (Fullerenes, C 60) induce oxidative stress in the brain of juvenile largemouth bass
10.1289/ehp.7021 · 2004 · External reference
Scanning electron microscopy image representativeness: morphological data on nanoparticles
10.1111/jmi.12461 · 2017 · External reference
Unresolved reference
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Unresolved reference
2010 · External reference
Unresolved reference
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Unresolved reference
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10.1038/nnano.2015.338
10.1038/nnano.2015.338 · External reference
(Q)SAR modelling of nanomaterial toxicity: a critical review
10.1016/j.partic.2014.12.001 · 2015 · External reference
Unresolved reference
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Acute toxicity and tissue distribution of cerium oxide nanoparticles by a single oral administration in rats
10.5487/tr.2009.25.2.079 · 2009 · External reference
The influence of the crystalline nature of nano-metal oxides on their antibacterial and toxicity properties
10.1007/s12274-014-0553-5 · 2015 · External reference
Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors
10.1007/s11051-011-0238-x · 2011 · External reference
10.1002/jbt.21442
10.1002/jbt.21442 · External reference
10.1038/nnano.2008.111
10.1038/nnano.2008.111 · External reference
Multi-walled carbon nanotube physicochemical properties predict pulmonary inflammation and genotoxicity
10.1080/17435390.2016.1202351 · 2016 · External reference
Multi-walled carbon nanotube-physicochemical properties predict the systemic acute phase response following pulmonary exposure in mice
10.1371/journal.pone.0174167 · 2017 · External reference
10.1016/j.taap.2014.12.011
10.1016/j.taap.2014.12.011 · External reference
A multiscale model of protein adsorption on a nanoparticle surface
10.1088/1361-651x/ab3b6e · 2019 · External reference
Nanocuration workflows: establishing best practices for identifying, inputting, and sharing data to inform decisions on nanomaterials
10.3762/bjnano.6.189 · 2015 · External reference
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
10.1038/nnano.2011.10 · 2011 · External reference
Multi-walled carbon nanotube-induced genotoxic, inflammatory and pro-fibrotic responses in mice: investigating the mechanisms of pulmonary carcinogenesis
10.1016/j.mrgentox.2017.08.005 · 2017 · External reference
The power of resolution: contextualized understanding of biological responses to liver injury chemicals using high-throughput transcriptomics and benchmark concentration modeling
10.1093/toxsci/kfz065 · 2019 · External reference
Novel graph theoretical approach to heteroatoms in quantitative structure—activity relationships
10.1016/0169-7439(91)80051-q · 1991 · External reference
Sulfidation of silver nanoparticles decreases Escherichia coli growth inhibition
10.1021/es203732x · 2012 · External reference
Correlating physico-chemical with toxicological properties of nanoparticles: the present and the future
10.1021/nn1025687 · 2010 · External reference
Interlaboratory comparison of size and surface charge measurements on nanoparticles prior to biological impact assessment
10.1007/s11051-011-0423-y · 2011 · External reference
GALGO: a genetic algorithm decision support tool for complex uncertain systems modeled with bayesian belief networks
10.1016/b978-1-4832-1451-1.50049-4 · 1993 · External reference
10.1371/journal.pone.0217483
10.1371/journal.pone.0217483 · External reference
Unresolved reference
1959 · External reference
Inhalation of rod-like carbon nanotubes causes unconventional allergic airway inflammation
10.1186/s12989-014-0048-2 · 2014 · External reference
Comparative study of predictive computational models for nanoparticle-induced cytotoxicity
10.1111/j.1539-6924.2010.01438.x · 2010 · External reference
Multi-omics analysis of ten carbon nanomaterials effects highlights cell type specific patterns of molecular regulation and adaptation
10.1016/j.impact.2018.05.003 · 2018 · External reference
Integration of genome-wide mRNA and miRNA expression, and DNA methylation data of three cell lines exposed to ten carbon nanomaterials
10.1016/j.dib.2018.05.107 · 2018 · External reference
INSIdE NANO: a systems biology framework to contextualize the mechanism-of-action of engineered nanomaterials
10.1038/s41598-018-37411-y · 2019 · External reference
An integrated quantitative structure and mechanism of action-activity relationship model of human serum albumin binding
10.1186/s13321-019-0359-2 · 2019 · External reference
MaNGA: a novel multi-niche multi-objective genetic algorithm for QSAR modelling
2019 · External reference
Bayesian belief nets for managing expert judgement and modelling reliability
10.1002/qre.410 · 2001 · External reference
10.1093/bioinformatics/bty1054
10.1093/bioinformatics/bty1054 · External reference
10.1039/c4nr03487b
10.1039/c4nr03487b · External reference
Reliability of methods and data for regulatory assessment of nanomaterial risks
10.1016/j.impact.2017.06.001 · 2017 · External reference
10.1016/j.cell.2017.10.049
10.1016/j.cell.2017.10.049 · External reference
Reduction of acute inflammatory effects of fumed silica nanoparticles in the lung by adjusting silanol display through calcination and metal doping
10.1021/acsnano.5b03443 · 2015 · External reference
Unresolved reference
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No Title
2016 · External reference
10.1039/c6nr04376c
10.1039/c6nr04376c · External reference
10.3109/17435390.2014.952698
10.3109/17435390.2014.952698 · External reference
10.1093/toxsci/kfz058
10.1093/toxsci/kfz058 · External reference
Predicting thermal conductivity of nanomaterials by correlation weighting technological attributes codes
10.1016/j.matlet.2007.03.026 · 2007 · External reference
Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector
10.1016/j.compbiolchem.2007.02.002 · 2007 · External reference
Multiplicative SMILES-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
10.1016/j.cplett.2008.04.013 · 2008 · External reference
Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
10.1016/j.chemosphere.2012.05.077 · 2012 · External reference
Additive InChI-based optimal descriptors: QSPR modeling of fullerene C 60 solubility in organic solvents
10.1007/s10910-008-9514-0 · 2009 · External reference
QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells
10.1016/j.chemosphere.2013.03.012 · 2013 · External reference
Towards the development of global nano-quantitative structure-property relationship models: zeta potentials of metal oxide nanoparticles
10.3390/nano8040243 · 2018 · External reference
Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
10.1016/j.ecoenv.2014.10.003 · 2015 · External reference
GALGO: an R package for multivariate variable selection using genetic algorithms
10.1093/bioinformatics/btl074 · 2006 · External reference
10.1039/c8en00061a
10.1039/c8en00061a · External reference
RRegrs: an R package for computer-aided model selection with multiple regression models
10.1186/s13321-015-0094-2 · 2015 · External reference
Read-across predictions of nanoparticle hazard endpoints: a mathematical optimization approach
10.1039/c9na00242a · 2019 · External reference
Zeta potential read-across model utilising nanodescriptors extracted via the nanoxtract image analysis tool available on the enalos nanoinformatics cloud platform
2020 · External reference
10.1039/c8na00142a
10.1039/c8na00142a · External reference
10.1007/978-1-4939-8630-9_7
10.1007/978-1-4939-8630-9_7 · External reference
10.1007/978-1-0716-0150-1_31
10.1007/978-1-0716-0150-1_31 · External reference
Respirator performance against nanoparticles under simulated workplace activities
10.1093/annhyg/mev042 · 2015 · External reference
10.1039/c1cs15233e
10.1039/c1cs15233e · External reference
10.1021/nn406018q
10.1021/nn406018q · External reference
A Three-Step Model for protein-gold nanoparticle adsorption
10.1021/jp411543y · 2014 · External reference
10.1021/ci00057a005
10.1021/ci00057a005 · External reference
June). The bio-corona and its impact on nanomaterial toxicity
10.1515/ejnm-2015-0018 · 2015 · External reference
10.1038/sdata.2016.18
10.1038/sdata.2016.18 · External reference
Modelling and predicting the biological effects of nanomaterials
10.1080/1062936x.2013.874367 · 2014 · External reference
Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials
10.1016/j.taap.2015.12.016 · 2016 · External reference
10.1093/nar/gkx1037
10.1093/nar/gkx1037 · External reference
10.1093/nar/gkx1037
10.1093/nar/gkx1037 · External reference
How adverse outcome pathways can aid the development and use of computational prediction models for regulatory toxicology
10.1093/toxsci/kfw207 · 2017 · External reference
10.1038/nnano.2010.164
10.1038/nnano.2010.164 · External reference
In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches
10.1039/c9nr00844f · 2019 · External reference
10.1021/ja304907c
10.1021/ja304907c · External reference
10.1021/nn3010087
10.1021/nn3010087 · External reference
10.1021/ja501699e
10.1021/ja501699e · External reference
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10.1093/toxsci/kfz151
10.1093/toxsci/kfz151 · External reference
