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Modeling the Toxicity of Chemicals toTetrahymenapyriformisUsing Heuristic Multilinear Regression and Heuristic Back-Propagation Neural Networks
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inferredcites →https://doi.org/10.1002/1522-7278(2001)16:1<54::aid-tox60>3.0.co;2-mopenalex-snapshot
Structure-activity relationships for aquatic toxicity toTetrahymena: Halogen-substituted aliphatic esters
inferredcites →https://doi.org/10.1002/etc.5620200429openalex-snapshot
Correlation of Tetrahymena and Pimephales toxicity: Evaluation of 100 additional compounds
inferredcites →https://doi.org/10.1002/jps.2600730403openalex-snapshot
Comparative Study of Lipophilicity versus Topological Molecular Descriptors in Biological Correlations
inferredcites →https://doi.org/10.1002/jps.2600730404openalex-snapshot
Comparative Bioavailability of Two Furosemide Formulations in Humans
inferredcites →https://doi.org/10.1002/jps.2600840120openalex-snapshot
Atom/Fragment Contribution Method for Estimating Octanol–Water Partition Coefficients
inferredcites →https://doi.org/10.1002/qsar.19870060406openalex-snapshot
Systematic QSAR Procedures with Quantum Chemical Descriptors
inferredcites →https://doi.org/10.1002/qsar.19950140503openalex-snapshot
QSAR Study of the Toxicity of Nitrobenzenes to Tetrahymena pyriformis
inferredcites →https://doi.org/10.1002/qsar.200330816openalex-snapshot
Structure‐Activity Relationships for the Toxicity of Substituted Poly‐hydroxylated Benzenes to Tetrahymena pyriformis: Influence of Free Radical Formation
inferredcites →https://doi.org/10.1002/qsar.200530189openalex-snapshot
A QSAR Study of Avian Oral Toxicity using Support Vector Machines and Genetic Algorithms
inferredcites →https://doi.org/10.1007/11508380_48openalex-snapshot
OpenMolGRID: Using Automated Workflows in GRID Computing Environment
inferredcites →https://doi.org/10.1007/bf00128336openalex-snapshot
MOPAC: A semiempirical molecular orbital program
inferredcites →https://doi.org/10.1007/s00128-003-0021-5openalex-snapshot
Structure-Toxicity Relationships for Methyl Esters of Cyanoacetic Acids to Tetrahymena pyriformis
inferredcites →https://doi.org/10.1007/s00128-003-0117-yopenalex-snapshot
Structure-Toxicity Relationships for the Effects of N- and N,N?-Alkyl Thioureas to Tetrahymena pyriformis
inferredcites →https://doi.org/10.1007/s00128-003-9013-8openalex-snapshot
pH-Stress and Toxicity of Nitrophenols to Tetrahymena pyriformis
inferredcites →https://doi.org/10.1007/s00128-004-0578-7openalex-snapshot
Regression Comparisons of Aquatic Toxicity of Benzene Derivatives: Tetrahymena pyriformis and Rana japonica
inferredcites →https://doi.org/10.1007/s00894-005-0032-8openalex-snapshot
Prediction of toxicity using a novel RBF neural network training methodology
inferredcites →https://doi.org/10.1007/s10565-005-0169-3openalex-snapshot
Toxicity to T etrahymena and abiotic thiol reactivity of aromatic isothiocyanates
inferredcites →https://doi.org/10.1007/s10565-006-0079-zopenalex-snapshot
Identification of reactive toxicants: Structure–activity relationships for amides
inferredcites →https://doi.org/10.1016/j.chemosphere.2005.04.040openalex-snapshot
QSARs for the aquatic toxicity of aromatic aldehydes from Tetrahymena data
inferredcites →https://doi.org/10.1016/j.future.2006.04.018openalex-snapshot
Mining of the chemical information in GRID environment
inferredcites →https://doi.org/10.1016/s0045-6535(00)00473-2openalex-snapshot
Regression comparisons of tetrahymena pyriformis and poecilia reticulata toxicity
inferredcites →https://doi.org/10.1016/s0166-1280(02)00621-8openalex-snapshot
Applications of QSARs in toxicology: a US Government perspective
inferredcites →https://doi.org/10.1016/s1382-6689(98)00048-9openalex-snapshot
Structure–toxicity relationships for selected halogenated aliphatic chemicals
inferredcites →https://doi.org/10.1021/ac00029a018openalex-snapshot
Optimal minimal neural interpretation of spectra
inferredcites →https://doi.org/10.1021/ac00029a019openalex-snapshot
Water-in-oil microemulsions as solvents for laser-excited multiphoton photoionization
inferredcites →https://doi.org/10.1021/ci000450aopenalex-snapshot
Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks
inferredcites →https://doi.org/10.1021/ci010335fopenalex-snapshot
A General QSPR Treatment for Dielectric Constants of Organic Compounds
inferredcites →https://doi.org/10.1021/ci025555nopenalex-snapshot
Prediction of Aquatic Toxicity: Use of Optimization of Correlation Weights of Local Graph Invariants
inferredcites →https://doi.org/10.1021/ci0401219openalex-snapshot
Combining Unsupervised and Supervised Artificial Neural Networks to PredictAquatic Toxicity
inferredcites →https://doi.org/10.1021/ci050354fopenalex-snapshot
Open Computing Grid for Molecular Science and Engineering
inferredcites →https://doi.org/10.1021/ci9800965openalex-snapshot
Response-Surface Analyses for Toxicity to Tetrahymena pyriformis: Reactive Carbonyl-Containing Aliphatic Chemicals
inferredcites →https://doi.org/10.1021/ja00160a021openalex-snapshot
Empirical and ab initio estimates of the stabilities of fluorine-containing cations
inferredcites →https://doi.org/10.1021/ja00364a006openalex-snapshot
ESR study of the electronic structure and dynamic Jahn-Teller effect in nickelocenium cation
inferredcites →https://doi.org/10.1021/jo00267a035openalex-snapshot
A convenient method for the reduction of ozonides to alcohols with borane-dimethyl sulfide complex
inferredcites →https://doi.org/10.1021/tx010101qopenalex-snapshot
Linear Regression and Computational Neural Network Prediction of Tetrahymena Acute Toxicity for Aromatic Compounds from Molecular Structure
inferredcites →https://doi.org/10.1021/tx025589popenalex-snapshot
Structure−Toxicity Relationships for Aliphatic Chemicals Evaluated with Tetrahymena pyriformis
inferredcites →https://doi.org/10.1021/tx049833jopenalex-snapshot
Structure−Toxicity Relationships for the Effects to Tetrahymena pyriformis of Aliphatic, Carbonyl-Containing, α,β-Unsaturated Chemicals
inferredcites →https://doi.org/10.1021/tx9900627openalex-snapshot
A Quantitative Structure−Activity Relationships Model for the Acute Toxicity of Substituted Benzenes to Tetrahymena pyriformis Using Bayesian-Regularized Neural Networks
inferredcites →https://doi.org/10.1021/tx9900730openalex-snapshot
Structure−Toxicity Relationships for Benzenes Evaluated with Tetrahymena pyriformis
inferredcites →https://doi.org/10.1023/a:1026084514236openalex-snapshot
QSAR Modeling of Genotoxicity on Non-congeneric Sets of Organic Compounds
inferredcites →https://doi.org/10.1080/08927020008022373openalex-snapshot
Non-Linear QSAR Treatment of Genotoxicity
inferredcites →https://doi.org/10.1080/105172397243079openalex-snapshot
TETRATOX: TETRAHYMENA PYRIFORMIS POPULATION GROWTH IMPAIRMENT ENDPOINTA SURROGATE FOR FISH LETHALITY
inferredcites →https://doi.org/10.1080/10629360108035365openalex-snapshot
Structure-Toxicity Analyses of Tetrahymena Pyriformis Exposed to Pyridines - An Examination Into Extension of Surface-Response Domains
inferredcites →https://doi.org/10.1080/1062936021000058782openalex-snapshot
Selection of data sets for qsars: Analyses of tetrahymena toxicity from aromatic compounds
inferredcites →https://doi.org/10.1080/10629360601033424openalex-snapshot
Structure–activity relationships for abiotic thiol reactivity and aquatic toxicity of halo-substituted carbonyl compounds
inferredcites →https://doi.org/10.1080/10629369808039153openalex-snapshot
Comparison of Tetrahymena and Pimephales Toxicity Based on Mechanism of Action
inferredcites →https://doi.org/10.1080/10629369808039157openalex-snapshot
Structure-Toxicity Relationships for Aminoalkanols: A Comparison with Alkanols and Alkanamines
inferredcites →https://doi.org/10.1080/10659360600562079openalex-snapshot
Quantitative structure-toxicity relationships (QSTRs): A comparative study of various non linear methods. General regression neural network, radial basis function neural network and support vector machine in predicting toxicity of nitro- and cyano- aromatics to Tetrahymena pyriformis
inferredcites →https://doi.org/10.1515/9783112706992openalex-snapshot
Theoretical Drug Design Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/chin.200807209openalex-snapshot
ChemInform Abstract: Modeling the Toxicity of Chemicals to Tetrahymena pyriformis Using Heuristic Multilinear Regression and Heuristic Back‐Propagation Neural Networks.
inferred← citeshttps://doi.org/10.1002/qsar.200810174openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4419-0197-2_1openalex-snapshot
Artificial Neural Network Modeling of the Environmental Fate and Ecotoxicity of Chemicals
inferred← citeshttps://doi.org/10.1007/978-1-4939-2239-0_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apr.2022.101314openalex-snapshot
Chemical structure based model to predict nitrate radical‒mediated degradation of saturated organic contaminants in troposphere
inferred← citeshttps://doi.org/10.1016/j.chemolab.2008.11.003openalex-snapshot
Predicting toxic action mechanisms of phenols using AdaBoost Learner
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2010.11.043openalex-snapshot
In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2013.06.088openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jes.2017.11.023openalex-snapshot
Assessment of the cytotoxic and mutagenic potential of the Jialu River and adjacent groundwater using human-hamster hybrid cells
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2010.07.116openalex-snapshot
QSTR with extended topochemical atom (ETA) indices. 14. QSAR modeling of toxicity of aromatic aldehydes to Tetrahymena pyriformis
inferred← citeshttps://doi.org/10.1016/j.jmgm.2008.12.007openalex-snapshot
Bridging the gap between molecular descriptors and mechanism: Cases studies by molecular dynamics simulations
inferred← citeshttps://doi.org/10.1016/j.jmgm.2012.01.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmgm.2017.06.019openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.theochem.2009.01.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.watres.2017.03.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1039/bk9781849730044-00148openalex-snapshot
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inferred← citeshttps://doi.org/10.1039/c5nj02552dopenalex-snapshot
Evaluating the role of electron-correlation in the external prediction of the toxicity of nitrobenzenes towards Tetrahymena pyriformis
inferred← citeshttps://doi.org/10.1080/10629360903568697openalex-snapshot
QSAR with quantum topological molecular similarity indices: toxicity of aromatic aldehydes toTetrahymena pyriformis
inferred← citeshttps://doi.org/10.1080/1062936x.2010.528596openalex-snapshot
QSAR model for the prediction of bio-concentration factor using aqueous solubility and descriptors considering various electronic effects
inferred← citeshttps://doi.org/10.1080/1062936x.2011.623317openalex-snapshot
Quantitative structure–activity relationship analysis of acute toxicity of diverse chemicals to Daphnia magna with whole molecule descriptors
inferred← citeshttps://doi.org/10.1080/1062936x.2012.762426openalex-snapshot
Comparative analysis of local and consensus quantitative structure-activity relationship approaches for the prediction of bioconcentration factor
inferred← citeshttps://doi.org/10.1080/1062936x.2013.783507openalex-snapshot
Prediction of acute aquatic toxicity inTetrahymena pyriformis– ‘Eco-Derek’, a knowledge-based system approach£
inferred← citeshttps://doi.org/10.1080/1062936x.2013.792869openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/1062936x.2020.1839131openalex-snapshot
Modelling of antiproliferative activity measured in HeLa cervical cancer cells in a series of xanthene derivatives
inferred← citeshttps://doi.org/10.1080/1062936x.2021.1932583openalex-snapshot
QSAR analysis of the acute toxicity of avermectins towards Tetrahymena pyriformis
inferred← citeshttps://doi.org/10.1080/1062936x.2023.2171478openalex-snapshot
Two QSAR models for predicting the toxicity of chemicals towards Tetrahymena pyriformis based on topological-norm descriptors and spatial-norm descriptors
inferred← citeshttps://doi.org/10.1109/bibm.2010.5706653openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icisa.2010.5480392openalex-snapshot
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inferred← citeshttps://doi.org/10.1504/ijdmb.2013.056082openalex-snapshot
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inferred← citeshttps://doi.org/10.1515/revce-2013-0013openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/ijms10051978openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/ijms12053018openalex-snapshot
Investigations on Inhibitors of Hedgehog Signal Pathway: A Quantitative Structure-Activity Relationship Study
inferred← citeshttps://doi.org/10.5740/jaoacint.sge_goodarziopenalex-snapshot
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