Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
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Progression of occupational risk management with advances in nanomaterialsNanoinformatics: emerging databases and available toolsThe biomechanisms of metal and metal-oxide nanoparticles' interactions with cellsImaging interactions of metal oxide nanoparticles with macrophage cells by ultra-high resolution scanning electron microscopy techniques.How should the completeness and quality of curated nanomaterial data be evaluated?An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicologyQSAR modeling: where have you been? Where are you going to?Toxicity of nanomaterialsRelating Nanoparticle Properties to Biological Outcomes in Exposure Escalation ExperimentsEngineered nanomaterials in food: implications for food safety and consumer healthSize-dependent toxicity of silver nanoparticles to bacteria, yeast, algae, crustaceans and mammalian cells in vitroPdO doping tunes band-gap energy levels as well as oxidative stress responses to a Co₃O₄ p-type semiconductor in cells and the lungUse of metal oxide nanoparticle band gap to develop a predictive paradigm for oxidative stress and acute pulmonary inflammationSemiconductor Electronic Label-Free Assay for Predictive ToxicologyITS-NANO--prioritising nanosafety research to develop a stakeholder driven intelligent testing strategy.Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical researchComputer-aided design of carbon nanotubes with the desired bioactivity and safety profilesMetal Oxide Nanomaterial QNAR Models: Available Structural Descriptors and Understanding of Toxicity MechanismsLipopolysaccharide Density and Structure Govern the Extent and Distance of Nanoparticle Interaction with Actual and Model Bacterial Outer Membranes.Principal component and causal analysis of structural and acute in vitro toxicity data for nanoparticles.Predictive toxicology of cobalt ferrite nanoparticles: comparative in-vitro study of different cellular models using methods of knowledge discovery from dataOptimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides.Genotoxicity of metal oxide nanomaterials: review of recent data and discussion of possible mechanisms.Current situation on the availability of nanostructure-biological activity data.A review of the applications of data mining and machine learning for the prediction of biomedical properties of nanoparticles.An Integrated Data-Driven Strategy for Safe-by-Design Nanoparticles: The FP7 MODERN Project.Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project.Sulfidation of silver nanoparticles: natural antidote to their toxicity.Physicochemical signatures of nanoparticle-dependent complement activation.Toxicity of nano-zero valent iron to freshwater and marine organisms.An index for characterization of natural and non-natural amino acids for peptidomimeticsInvestigation of the novel lead of melanocortin 1 receptor for pigmentary disorders.A study of the mechanism of in vitro cytotoxicity of metal oxide nanoparticles using catfish primary hepatocytes and human HepG2 cells.Structure-thermodynamics-antioxidant activity relationships of selected natural phenolic acids and derivatives: an experimental and theoretical evaluation.Room temperature synthesis of PbSe quantum dots in aqueous solution: stabilization by interactions with ligands.The effect of composition of different ecotoxicological test media on free and bioavailable copper from CuSO4 and CuO nanoparticles: comparative evidence from a Cu-selective electrode and a Cu-biosensor.An Experimental and Computational Approach to the Development of ZnO Nanoparticles that are Safe by Design.Influences of surface coatings and components of FePt nanoparticles on the suppression of glioma cell proliferationWhat 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.Superparamagnetic iron oxide nanoparticles: amplifying ROS stress to improve anticancer drug efficacy.
P2860
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P2860
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@en
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@nl
type
label
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@en
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@nl
prefLabel
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@en
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@nl
P2093
P50
P356
P1476
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.
@en
P2093
Andrea Michalkova
Danuta Leszczynska
Huey-Min Hwang
Thabitha P Dasari
P2888
P304
P356
10.1038/NNANO.2011.10
P407
P577
2011-02-13T00:00:00Z