Research graph
References from “intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1039/c0cc05271j
10.1039/c0cc05271j · External reference
Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs
10.1080/17435390.2016.1202352 · 2016 · External reference
10.1039/c8en00085a
10.1039/c8en00085a · External reference
10.1021/acs.chemrev.8b00172
10.1021/acs.chemrev.8b00172 · External reference
Research progress and mechanism of nanomaterials-mediated in-situ remediation of cadmium-contaminated soil: A critical review
10.1016/j.jes.2020.12.021 · 2021 · External reference
10.1021/acsami.1c06520
10.1021/acsami.1c06520 · External reference
ICP-MS based methods to characterize nanoparticles of TiO2 and ZnO in sunscreens with focus on regulatory and safety issues
10.1016/j.scitotenv.2018.02.166 · 2018 · External reference
10.3390/md16060179
10.3390/md16060179 · External reference
Preparation of modified paints with nano-structured additives and its potential applications
10.1177/1847980420909188 · 2020 · External reference
Cytotoxicity prediction of nano metal oxides on different lung cells via Nano-QSAR
10.1016/j.envpol.2024.123405 · 2024 · External reference
10.1021/nn3010087
10.1021/nn3010087 · External reference
10.1021/nn9005973
10.1021/nn9005973 · External reference
Comparison of conventional and advanced in vitro models in the toxicity testing of nanoparticles
10.1080/21691401.2018.1479709 · 2018 · External reference
Efficient predictions of cytotoxicity of TiO2-based multi-component nanoparticles using a machine learning-based q-RASAR approach
10.1080/17435390.2023.2186280 · 2023 · External reference
Prediction of cytotoxicity of heavy metals adsorbed on nano-TiO2 with periodic table descriptors using machine learning approaches
10.3762/bjnano.14.77 · 2023 · External reference
Unresolved reference
External reference
Unresolved reference
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Nano-read-across predictions of toxicity of metal oxide engineered nanoparticles (MeOx ENPS) used in nanopesticides to BEAS-2B and RAW 264.7 cells
10.1080/17435390.2022.2132887 · 2022 · External reference
10.1039/d1en00725d
10.1039/d1en00725d · External reference
New workflow for QSAR model development from small data sets: small dataset curator and small dataset modeler. integration of data curation, exhaustive double cross-validation, and a set of optimal model selection techniques
10.1021/acs.jcim.9b00476 · 2019 · External reference
A strategy for structuring and reporting a read-across prediction of toxicity
10.1016/j.yrtph.2015.05.016 · 2015 · External reference
Unresolved reference
2017 · External reference
ToxRead: A tool to assist in read across and its use to assess mutagenicity of chemicals
10.1080/1062936x.2014.976267 · 2014 · External reference
Unresolved reference
2016 · External reference
Navigating through the minefield of read-across tools: A review of in silico tools for grouping
10.1016/j.comtox.2017.05.003 · 2017 · External reference
Unresolved reference
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Toxmatch - A new software tool to aid in the development and evaluation of chemically similar groups
10.1080/10629360802083848 · 2008 · External reference
Unresolved reference
External reference
Apellis: an online tool for read-across model development
10.1016/j.comtox.2020.100146 · 2021 · External reference
Integrative chemical-biological read-across approach for chemical hazard classification
10.1021/tx400110f · 2013 · External reference
CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data
10.1093/bioinformatics/btw640 · 2017 · External reference
G. Generalized Read-Across (GenRA): A workflow implemented into the EPA CompTox Chemicals Dashboard
2019 · External reference
Unresolved reference
External reference
Quantitative predictions from chemical read-across and their confidence measures
10.1016/j.chemolab.2022.104613 · 2022 · External reference
Molecular similarity in medicinal chemistry
10.1021/jm401411z · 2014 · External reference
10.1023/a:1021271615909
10.1023/a:1021271615909 · External reference
Excplicit calculation of 3D molecular similarity
10.1023/a:1027280526177 · 1998 · External reference
10.1021/cb3001028
10.1021/cb3001028 · External reference
Distances and other dissimilarity measures in chemometrics
2015 · External reference
Unresolved reference
2022 · External reference
10.1021/ci9800211
10.1021/ci9800211 · External reference
10.1016/j.ymeth.2014.08.005
10.1016/j.ymeth.2014.08.005 · External reference
Unresolved reference
External reference
Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?
10.1186/s13321-015-0069-3 · 2015 · External reference
Unresolved reference
2014 · External reference
10.1021/ci9800211
10.1021/ci9800211 · External reference
Combining minkowski and chebyshev: new distance proposal and survey of distance metrics using k-nearest neighbours classifier
10.1016/j.patrec.2018.03.021 · 2018 · External reference
10.1007/0-387-29151-2_1
10.1007/0-387-29151-2_1 · External reference
The mahalanobis distance
10.1016/s0169-7439(99)00047-7 · 2000 · External reference
On the generalized distance in statistics. Sankhyā
2018 · External reference
Unresolved reference
2016 · External reference
On some properties of the Bray-Curtis dissimilarity and their ecological meaning
10.1016/j.ecocom.2017.07.003 · 2017 · External reference
10.1016/j.comnet.2011.04.010
10.1016/j.comnet.2011.04.010 · External reference
Unresolved reference
1992 · External reference
Approximation with polynomial kernels and SVM classifiers
10.1007/s10444-004-7206-2 · 2006 · External reference
Fuzzy sigmoid kernel for support vector classifiers
10.1016/j.neucom.2004.07.004 · 2004 · External reference
Unresolved reference
2001 · External reference
Value for n-person games. Contributions to the theory of games II
1953 · External reference
A unified approach to interpreting model predictions
2017 · External reference
10.1039/d4dd00082j
10.1039/d4dd00082j · External reference
Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
10.1038/s41598-021-86327-7 · 2021 · External reference
Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions
10.1007/s10822-020-00314-0 · 2020 · External reference
The impact of carbon nanotube properties on lung pathologies and atherosclerosis through acute inflammation: a new AOP-anchored in Silico NAM
10.1002/smll.202501185 · 2025 · External reference
Quantum mechanics descriptors in a nano-QSAR model to predict metal oxide nanoparticles toxicity in human keratinous cells
10.1007/s11051-021-05288-0 · 2021 · External reference
Quantitative structure–activity relationship models for predicting inflammatory potential of metal oxide nanoparticles
10.1289/ehp6508 · 2020 · External reference
