On the public citation graph
Dependence of QSAR Models on the Selection of Trial Descriptor Sets: A Demonstration Using Nanotoxicity Endpoints of Decorated Nanotubes
0 signed · 79 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0003-2697(82)90118-xopenalex-snapshot
Analysis of nitrate, nitrite, and [15N]nitrate in biological fluids
inferredcites →https://doi.org/10.1016/s0166-1280(99)00360-7openalex-snapshot
Molecular fields in quantitative structure–permeation relationships: the VolSurf approach
inferredcites →https://doi.org/10.1016/s0928-0987(00)00162-7openalex-snapshot
VolSurf: a new tool for the pharmacokinetic optimization of lead compounds
inferredcites →https://doi.org/10.1021/ci00020a020openalex-snapshot
Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships
inferredcites →https://doi.org/10.1021/cr100440gopenalex-snapshot
Protein−Nanoparticle Interactions: Opportunities and Challenges
inferredcites →https://doi.org/10.1021/es048729lopenalex-snapshot
Cytotoxicity of Carbon Nanomaterials: Single-Wall Nanotube, Multi-Wall Nanotube, and Fullerene
inferredcites →https://doi.org/10.1021/ja108527yopenalex-snapshot
Enhancing Cell Recognition by Scrutinizing Cell Surfaces with a Nanoparticle Array
inferredcites →https://doi.org/10.1021/jm0011326openalex-snapshot
Suitability of Molecular Descriptors for Database Mining. A Comparative Analysis
inferredcites →https://doi.org/10.1021/jp806907copenalex-snapshot
Characterization of Organic Molecules Attached to Gold Nanoparticle Surface Using High Resolution Magic Angle Spinning 1H NMR
inferredcites →https://doi.org/10.1021/jp809493topenalex-snapshot
Characterization of Protein Clusters of Diverse Magnetic Nanoparticles and Their Dynamic Interactions with Human Cells
inferredcites →https://doi.org/10.1021/la2004535openalex-snapshot
Nano Meets Biology: Structure and Function at the Nanoparticle Interface
inferredcites →https://doi.org/10.1021/nl060177copenalex-snapshot
Oops They Did It Again! Carbon Nanotubes Hoax Scientists in Viability Assays
inferredcites →https://doi.org/10.1021/nl0730155openalex-snapshot
A Nano-Combinatorial Library Strategy for the Discovery of Nanotubes with Reduced Protein-Binding, Cytotoxicity, and Immune Response
inferredcites →https://doi.org/10.1021/nl900437nopenalex-snapshot
Functionalized Carbon Nanotubes Specifically Bind to α-Chymotrypsin’s Catalytic Site and Regulate Its Enzymatic Function
inferredcites →https://doi.org/10.1021/nl902647xopenalex-snapshot
Endosomal Leakage and Nuclear Translocation of Multiwalled Carbon Nanotubes: Developing a Model for Cell Uptake
inferredcites →https://doi.org/10.1021/nn1013484openalex-snapshot
Quantitative Nanostructure−Activity Relationship Modeling
inferredcites →https://doi.org/10.1021/nn200283gopenalex-snapshot
Steering Carbon Nanotubes to Scavenger Receptor Recognition by Nanotube Surface Chemistry Modification Partially Alleviates NFκB Activation and Reduces Its Immunotoxicity
inferredcites →https://doi.org/10.1021/nn900252jopenalex-snapshot
Suppression of Human Bone Morphogenetic Protein Signaling by Carboxylated Single-Walled Carbon Nanotubes
inferredcites →https://doi.org/10.1021/tx300059mopenalex-snapshot
Cell Cycle Regulation by Carboxylated Multiwalled Carbon Nanotubes through p53-Independent Induction of p21 under the Control of the BMP Signaling Pathway
inferredcites →https://doi.org/10.1038/nbt0708-774openalex-snapshot
The long and short of carbon nanotube toxicity
inferredcites →https://doi.org/10.1038/nbt1159openalex-snapshot
Cell-specific targeting of nanoparticles by multivalent attachment of small molecules
inferredcites →https://doi.org/10.1080/01621459.1993.10476299openalex-snapshot
Linear Model Selection by Cross-Validation
inferredcites →https://doi.org/10.1093/toxsci/kfm169openalex-snapshot
Nanotechnology Safety Concerns Revisited
inferredcites →https://doi.org/10.1093/toxsci/kfm243openalex-snapshot
Inhalation Toxicity and Lung Toxicokinetics of C60 Fullerene Nanoparticles and Microparticles
inferredcites →https://doi.org/10.1152/ajplung.00277.2005openalex-snapshot
Smaller is not always better: nanotechnology yields nanotoxicology
inferredcites →https://doi.org/10.1214/aos/1176347963openalex-snapshot
Multivariate Adaptive Regression Splines
inferredcites →https://doi.org/10.2174/138620711794728743openalex-snapshot
Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles
inferredcites →https://doi.org/10.2217/17435889.4.1.57openalex-snapshot
Nanomaterial Cell Interactions: How Do Carbon Nanotubes Affect Cell Physiology?
inferredcites →https://doi.org/10.32725/jab.2008.015openalex-snapshot
Silver or silver nanoparticles: a hazardous threat to the environment and human health?
inferredcites →https://doi.org/10.32725/jab.2009.001openalex-snapshot
Carbon nanotubes: toxicological impact on human health and environment
inferredcites →https://doi.org/10.32725/jab.2009.008openalex-snapshot
Gold and nano-gold in medicine: overview, toxicology and perspectives
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527816880.ch11_03openalex-snapshot
Deep and Shallow Neural Networks
inferred← citeshttps://doi.org/10.1002/aisy.201900045openalex-snapshot
Toward Interpretable Machine Learning Models for Materials Discovery
inferred← citeshttps://doi.org/10.1002/ffj.3430openalex-snapshot
Multivariate statistical analysis of a large odorants database aimed at revealing similarities and links between odorants and odors
inferred← citeshttps://doi.org/10.1002/minf.201600118openalex-snapshot
Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR
inferred← citeshttps://doi.org/10.1007/978-3-319-27282-5_57openalex-snapshot
Open Source Chemoinformatics Software including KNIME Analytics
inferred← citeshttps://doi.org/10.1007/978-94-007-6169-8_57-1openalex-snapshot
Open-Source Chemoinformatics Software
inferred← citeshttps://doi.org/10.1007/978-94-007-6169-8_57-2openalex-snapshot
Open Source Chemoinformatics Software including KNIME Analytics Platform
inferred← citeshttps://doi.org/10.1016/j.comtox.2019.02.003openalex-snapshot
A dose-response-recovery clustering algorithm for categorizing carbon nanotube variants into toxicologically distinct groups
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2015.12.033openalex-snapshot
Extrapolating between toxicity endpoints of metal oxide nanoparticles: Predicting toxicity to Escherichia coli and human keratinocyte cell line (HaCaT) with Nano-QTTR
inferred← citeshttps://doi.org/10.1016/j.envint.2014.08.009openalex-snapshot
Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions
inferred← citeshttps://doi.org/10.1016/j.impact.2017.11.002openalex-snapshot
Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
inferred← citeshttps://doi.org/10.1016/j.impact.2019.01.003openalex-snapshot
Making use of available and emerging data to predict the hazards of engineered nanomaterials by means of in silico tools: A critical review
inferred← citeshttps://doi.org/10.1016/j.taap.2015.07.008openalex-snapshot
Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: interpretation of physicochemical properties from optimal QSAR models
inferred← citeshttps://doi.org/10.1016/j.tibtech.2016.08.011openalex-snapshot
Biological Identity of Nanoparticles In Vivo : Clinical Implications of the Protein Corona
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.9b00022openalex-snapshot
Importance of Choosing Relevant Biological End Points To Predict Nanoparticle Toxicity with Computational Approaches for Human Health Risk Assessment
inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00458openalex-snapshot
Experimental–Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov–Shannon Entropy Invariants
inferred← citeshttps://doi.org/10.1021/ci500152bopenalex-snapshot
Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization
inferred← citeshttps://doi.org/10.1038/s41598-017-13691-8openalex-snapshot
Decrypting Strong and Weak Single-Walled Carbon Nanotubes Interactions with Mitochondrial Voltage-Dependent Anion Channels Using Molecular Docking and Perturbation Theory
inferred← citeshttps://doi.org/10.1039/9781837677313-00451openalex-snapshot
Scaling up Nanotechnology in Agribusiness
inferred← citeshttps://doi.org/10.1039/c4nr01285bopenalex-snapshot
Computer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach
inferred← citeshttps://doi.org/10.1039/c4ra01274gopenalex-snapshot
Nano-QSAR modeling for predicting biological activity of diverse nanomaterials
inferred← citeshttps://doi.org/10.1039/c4ra07756copenalex-snapshot
Enalos InSilicoNano platform: an online decision support tool for the design and virtual screening of nanoparticles
inferred← citeshttps://doi.org/10.1039/c5nr01537eopenalex-snapshot
Prediction of nanoparticles-cell association based on corona proteins and physicochemical properties
inferred← citeshttps://doi.org/10.1039/c5ra14435copenalex-snapshot
Mitoprotective activity of oxidized carbon nanotubes against mitochondrial swelling induced in multiple experimental conditions and predictions with new expected-value perturbation theory
inferred← citeshttps://doi.org/10.1039/c6nr03898kopenalex-snapshot
Nanoparticles-cell association predicted by protein corona fingerprints
inferred← citeshttps://doi.org/10.1039/c8en00809dopenalex-snapshot
Second generation periodic table-based descriptors to encode toxicity of metal oxide nanoparticles to multiple species: QSTR modeling for exploration of toxicity mechanisms
inferred← citeshttps://doi.org/10.1039/c8na00142aopenalex-snapshot
A safe-by-design tool for functionalised nanomaterials through the Enalos Nanoinformatics Cloud platform
inferred← citeshttps://doi.org/10.1080/1062936x.2014.993702openalex-snapshot
Current situation on the availability of nanostructure–biological activity data
inferred← citeshttps://doi.org/10.1080/17435390.2017.1379567openalex-snapshot
Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory
inferred← citeshttps://doi.org/10.1080/17435390.2020.1729439openalex-snapshot
Nanotoxicology data for in silico tools: a literature review
inferred← citeshttps://doi.org/10.1093/bioinformatics/btw433openalex-snapshot
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization
inferred← citeshttps://doi.org/10.1093/toxsci/kfy111openalex-snapshot
Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity
inferred← citeshttps://doi.org/10.21079/11681/41302openalex-snapshot
Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data
inferred← citeshttps://doi.org/10.2174/1389557515666150219121652openalex-snapshot
Mutagenicity: QSAR - quasi-QSAR - nano-QSAR
inferred← citeshttps://doi.org/10.2174/1573411019666230619151445openalex-snapshot
Prediction of Toxicity of Nanomaterials Using QSAR Approach
inferred← citeshttps://doi.org/10.2217/nnm.15.69openalex-snapshot
Development of Nanotoxicology: Implications for Drug Delivery and Medical Devices
inferred← citeshttps://doi.org/10.3109/17435390.2014.952698openalex-snapshot
Nano(Q)SAR: Challenges, pitfalls and perspectives
inferred← citeshttps://doi.org/10.3109/17435390.2015.1073397openalex-snapshot
Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles
inferred← citeshttps://doi.org/10.3389/fphys.2019.01044openalex-snapshot
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data
inferred← citeshttps://doi.org/10.3390/nano10010116openalex-snapshot
Practices and Trends of Machine Learning Application in Nanotoxicology
inferred← citeshttps://doi.org/10.3390/nano10112186openalex-snapshot
Understanding Nanoparticle Toxicity to Direct a Safe-by-Design Approach in Cancer Nanomedicine
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.