scholarly article | Q13442814 |
P356 | DOI | 10.1002/SMLL.201201903 |
P698 | PubMed publication ID | 23423856 |
P50 | author | Ralph Weissleder | Q7288259 |
Yoram Cohen | Q39063399 | ||
Carlos Tassa | Q125261088 | ||
P2093 | author name string | Rong Liu | |
Stanley Shaw | |||
Robert Rallo | |||
P2860 | cites work | Toward the development of "nano-QSARs": advances and challenges | Q37605014 |
Aggregation and toxicity of titanium dioxide nanoparticles in aquatic environment--a review. | Q37698397 | ||
Review: Do engineered nanoparticles pose a significant threat to the aquatic environment? | Q37775983 | ||
Nanotechnology and human health: risks and benefits | Q37813550 | ||
Predictive models for nanotoxicology: current challenges and future opportunities | Q37839311 | ||
QSAR modeling of nanomaterials | Q37850776 | ||
Environmental risk analysis for nanomaterials: review and evaluation of frameworks | Q37864336 | ||
Surface modification of quartz inhibits toxicity, particle uptake, and oxidative DNA damage in human lung epithelial cells. | Q39615519 | ||
Influence of size, surface area and microporosity on the in vitro cytotoxic activity of amorphous silica nanoparticles in different cell types | Q39663116 | ||
Comparative study of predictive computational models for nanoparticle-induced cytotoxicity | Q39691029 | ||
Analysis of nanoparticle agglomeration in aqueous suspensions via constant-number Monte Carlo simulation | Q39707740 | ||
In vitro cytotoxicity of oxide nanoparticles: comparison to asbestos, silica, and the effect of particle solubility | Q40244628 | ||
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles | Q43415971 | ||
The role of nanoparticle size in hemocompatibility. | Q46018270 | ||
In vitro evaluation of cytotoxicity of engineered metal oxide nanoparticles | Q46235956 | ||
Stability and aggregation of metal oxide nanoparticles in natural aqueous matrices | Q46344059 | ||
Is cross-validation valid for small-sample microarray classification? | Q47207899 | ||
Nanoparticle-mediated cellular response is size-dependent. | Q47223945 | ||
Size dependent and reactive oxygen species related nanosilver toxicity to nitrifying bacteria | Q47226712 | ||
The influence of protein adsorption on nanoparticle association with cultured endothelial cells | Q47232789 | ||
Oxide nanoparticle uptake in human lung fibroblasts: effects of particle size, agglomeration, and diffusion at low concentrations | Q47355749 | ||
Model system to study the influence of aggregation on the hemolytic potential of silica nanoparticles. | Q50526008 | ||
Assessing the risks of manufactured nanomaterials. | Q51147572 | ||
y-Randomization and its variants in QSPR/QSAR. | Q51905625 | ||
Novel variable selection quantitative structure--property relationship approach based on the k-nearest-neighbor principle | Q52082245 | ||
Characterization of size, surface charge, and agglomeration state of nanoparticle dispersions for toxicological studies | Q56002229 | ||
An integrated approach toward understanding the environmental fate, transport, toxicity, and health hazards of nanomaterials | Q23915229 | ||
State of academic knowledge on toxicity and biological fate of quantum dots | Q24656654 | ||
Toxic potential of materials at the nanolevel | Q28295314 | ||
Toxicity and environmental risks of nanomaterials: challenges and future needs | Q28308291 | ||
No time to lose--high throughput screening to assess nanomaterial safety | Q28383671 | ||
Titanium Dioxide Nanoparticles: Grassian et al. Respond | Q28383859 | ||
Quantitative nanostructure-activity relationship modeling | Q28385022 | ||
High content screening in zebrafish speeds up hazard ranking of transition metal oxide nanoparticles | Q28392583 | ||
Use of metal oxide nanoparticle band gap to develop a predictive paradigm for oxidative stress and acute pulmonary inflammation | Q28392757 | ||
Differential expression of syndecan-1 mediates cationic nanoparticle toxicity in undifferentiated versus differentiated normal human bronchial epithelial cells | Q28394538 | ||
Use of a high-throughput screening approach coupled with in vivo zebrafish embryo screening to develop hazard ranking for engineered nanomaterials | Q28394548 | ||
Exploring the immunotoxicity of carbon nanotubes | Q28395027 | ||
Determining the size and shape dependence of gold nanoparticle uptake into mammalian cells | Q29615461 | ||
The potential environmental impact of engineered nanomaterials | Q29615518 | ||
Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52 | Q30066516 | ||
QSAR applicabilty domain estimation by projection of the training set descriptor space: a review | Q30066530 | ||
Identification of Metabotropic Glutamate Receptor Subtype 5 Potentiators Using Virtual High-Throughput Screening | Q30481884 | ||
Using machine learning methods to predict experimental high-throughput screening data | Q33541657 | ||
Self-organizing map analysis of toxicity-related cell signaling pathways for metal and metal oxide nanoparticles | Q33798329 | ||
Classification NanoSAR development for cytotoxicity of metal oxide nanoparticles | Q33859712 | ||
Probing the Chemical Stability of Mixed Ferrites: Implications for MR Contrast Agent Design | Q33908288 | ||
Effects of titanium dioxide nanoparticle aggregate size on gene expression | Q33998815 | ||
Cell-specific targeting of nanoparticles by multivalent attachment of small molecules | Q34462201 | ||
Improving the magnetic resonance imaging contrast and detection methods with engineered magnetic nanoparticles | Q35687164 | ||
Virtual screening methods that complement HTS. | Q35807279 | ||
Identifying Novel Type ZBGs and Nonhydroxamate HDAC Inhibitors Through a SVM Based Virtual Screening Approach | Q36087078 | ||
Superparamagnetic iron oxide nanoparticle probes for molecular imaging. | Q36404175 | ||
Perturbational profiling of nanomaterial biologic activity | Q36677215 | ||
Deducing in vivo toxicity of combustion-derived nanoparticles from a cell-free oxidative potency assay and metabolic activation of organic compounds | Q37064815 | ||
Macrophage responses to silica nanoparticles are highly conserved across particle sizes | Q37091537 | ||
Quantum dot nanotoxicity assessment using the zebrafish embryo | Q37173039 | ||
P433 | issue | 9-10 | |
P921 | main subject | nanotechnology | Q11468 |
nanoparticle | Q61231 | ||
P304 | page(s) | 1842-1852 | |
P577 | publication date | 2013-02-19 | |
P1433 | published in | Small | Q3486838 |
P1476 | title | Nano-SAR development for bioactivity of nanoparticles with considerations of decision boundaries | |
P478 | volume | 9 |
Q38600120 | A Review of Recent Advances towards the Development of (Quantitative) Structure-Activity Relationships for Metallic Nanomaterials. |
Q38933494 | A computational framework for interspecies pharmacokinetics, exposure and toxicity assessment of gold nanoparticles |
Q23909862 | A multi-stakeholder perspective on the use of alternative test strategies for nanomaterial safety assessment |
Q38787849 | Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches |
Q39702398 | Alternative Testing Strategies for Nanomaterials: State of the Science and Considerations for Risk Analysis |
Q39059539 | Association rule mining of cellular responses induced by metal and metal oxide nanoparticles |
Q89340850 | Comparison of conventional and advanced in vitro models in the toxicity testing of nanoparticles |
Q30885444 | Current situation on the availability of nanostructure-biological activity data |
Q39149585 | Development of structure-activity relationship for metal oxide nanoparticles |
Q57008609 | Enalos InSilicoNano platform: an online decision support tool for the design and virtual screening of nanoparticles |
Q28390126 | Implementation of alternative test strategies for the safety assessment of engineered nanomaterials |
Q38974889 | Literature Review of (Q)SAR Modelling of Nanomaterial Toxicity |
Q38248366 | Nano(Q)SAR: Challenges, pitfalls and perspectives |
Q91966152 | Nano-(Q)SAR for Cytotoxicity Prediction of Engineered Nanomaterials |
Q23921579 | Nanoinformatics workshop report: current resources, community needs and the proposal of a collaborative framework for data sharing and information integration |
Q47639565 | Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology |
Q34218533 | Physicochemical signatures of nanoparticle-dependent complement activation |
Q40955960 | Prediction of nanoparticles-cell association based on corona proteins and physicochemical properties. |
Q45945538 | Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory. |
Q55509121 | Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. |
Q49912677 | Toxicity Classification of Oxide Nanomaterials: Effects of Data Gap Filling and PChem Score-based Screening Approaches. |
Q47300024 | Use of metal/metal oxide spherical cluster and hydroxyl metal coordination complex for descriptor calculation in development of nanoparticle cytotoxicity classification model |
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