Nano(Q)SAR: Challenges, pitfalls and perspectives

scientific article published on 11 September 2014

Nano(Q)SAR: Challenges, pitfalls and perspectives is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

External links are
P356DOI10.3109/17435390.2014.952698
P8608Fatcat IDrelease_isljowzh2rdwzl4rxutlskmx2i
P953full work available at URLhttp://eprints.whiterose.ac.uk/93093/
P698PubMed publication ID25211549
P1154Scopus EID2-s2.0-84937933471

P50authorCaiYun MaQ53843828
Tomasz PuzynQ41728850
P2093author name stringJian Wang
Xue Z Wang
Ceyda Oksel
Terry Wilkins
Kenneth N Robinson
Ratna Tantra
Cai Y Ma
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Beware of q2!Q28842863
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Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modellingQ30710110
Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticlesQ30722652
Application of neural networks to large dataset QSAR, virtual screening, and library designQ30858526
Megavariate analysis of environmental QSAR data. Part I--a basic framework founded on principal component analysis (PCA), partial least squares (PLS), and statistical molecular design (SMD).Q31044061
Decision tree SAR models for developmental toxicity based on an FDA/TERIS databaseQ47912674
Predictivity and reliability of QSAR models: the case of mutagens and carcinogens.Q50065385
Nanoparticle dispersity in toxicology.Q51531075
Nanomaterials for environmental studies: classification, reference material issues, and strategies for physico-chemical characterisation.Q51645271
Interpreting computational neural network QSAR models: a measure of descriptor importance.Q51972689
Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.Q51993081
Application of QSARs in risk management of existing chemicals.Q52383989
Structure-activity relationship analysis tools: validation and applicability in predicting carcinogens.Q53326943
Endotoxin contamination of engineered nanomaterialsQ53460338
Glossary of terms used in toxicology, 2nd edition (IUPAC Recommendations 2007)Q56908044
PCA-Based Representations of Graphs for Prediction in QSAR StudiesQ56979624
Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cellsQ57008918
Quantitative structure-activity relationship models for ready biodegradability of chemicalsQ31112383
Rational selection of training and test sets for the development of validated QSAR modelsQ31165909
Computational methods in developing quantitative structure-activity relationships (QSAR): a reviewQ33236244
Robust cross-validation of linear regression QSAR modelsQ33372866
Molecular determinants of juvenile hormone action as revealed by 3D QSAR analysis in DrosophilaQ33472678
Use of a (quantitative) structure-activity relationship [(Q)SAR] model to predict the toxicity of naphthenic acidsQ33524445
Classification NanoSAR development for cytotoxicity of metal oxide nanoparticlesQ33859712
The practice of structure activity relationships (SAR) in toxicologyQ33951674
Dependence of QSAR models on the selection of trial descriptor sets: a demonstration using nanotoxicity endpoints of decorated nanotubes.Q34517977
Anisotropy of building blocks and their assembly into complex structuresQ34658244
A comparative study of submicron particle sizing platforms: accuracy, precision and resolution analysis of polydisperse particle size distributionsQ34768767
The expanding role of predictive toxicology: an update on the (Q)SAR models for mutagens and carcinogensQ36761869
Use and perceived benefits and barriers of QSAR models for REACH: findings from a questionnaire to stakeholdersQ37166513
Toward the development of "nano-QSARs": advances and challengesQ37605014
Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticlesQ37833114
QSAR modeling of nanomaterialsQ37850776
Advancing risk assessment of engineered nanomaterials: application of computational approachesQ38015999
Engineered nanomaterial risk. Lessons learnt from completed nanotoxicology studies: potential solutions to current and future challengesQ38057778
Applying quantitative structure-activity relationship approaches to nanotoxicology: current status and future potential.Q38060983
Development of structure-activity relationship for metal oxide nanoparticlesQ39149585
QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cellsQ39169538
Modeling biological activities of nanoparticlesQ39265233
A Large-Scale Empirical Evaluation of Cross-Validation and External Test Set Validation in (Q)SAR.Q39410504
NIST gold nanoparticle reference materials do not induce oxidative DNA damageQ39449119
Improving the interferences of methyl thiazolyl tetrazolium and IL-8 assays in assessing the cytotoxicity of nanoparticles.Q39504418
Characterization of nanomaterial dispersion in solution prior to in vitro exposure using dynamic light scattering techniqueQ40079958
Use of category approaches, read-across and (Q)SAR: general considerationsQ42603448
Mechanism-based categorization of aromatase inhibitors: a potential discovery and screening toolQ43213435
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticlesQ43415971
Broaden the discussionQ43567960
Daphnia and fish toxicity of (benzo)triazoles: validated QSAR models, and interspecies quantitative activity-activity modelling.Q43980660
Nano-SAR development for bioactivity of nanoparticles with considerations of decision boundariesQ44932161
Developing descriptors to predict mechanical properties of nanotubes.Q46061412
Exploring an ecotoxicity database with the OECD (Q)SAR Toolbox and DRAGON descriptors in order to prioritise testing on algae, daphnids, and fish.Q46259209
We need answersQ46666947
P433issue5
P921main subjectnanotechnologyQ11468
P304page(s)636-642
P577publication date2014-09-11
P1433published inNanotoxicologyQ1964708
P1476titleNano(Q)SAR: Challenges, pitfalls and perspectives
P478volume9

Reverse relations

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