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QSAR Models Using a Large Diverse Set of Estrogens
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/etc.5620151113openalex-snapshot
QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS FOR POLYCHLORINATED HYDROXYBIPHENYL ESTROGEN RECEPTOR BINDING AFFINITY: AN ASSESSMENT OF CONFORMER FLEXIBILITY
inferredcites →https://doi.org/10.1002/qsar.19880070105openalex-snapshot
Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies
inferredcites →https://doi.org/10.1016/s0021-9258(17)34385-5openalex-snapshot
New biospecific adsorbents for the purification of estradiol receptor.
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The estradiol pharmacophore: Ligand structure-estrogen receptor binding affinity relationships and a model for the receptor binding site
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Enthalpies of sublimation and formation of polycyclic aromatic hydrocarbons (PAHs) derived from comparative molecular field analysis (CoMFA): Application of moment of inertia for molecular alignment
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The Structural Basis of Estrogen Receptor/Coactivator Recognition and the Antagonism of This Interaction by Tamoxifen
inferredcites →https://doi.org/10.1016/s0169-409x(00)00129-0openalex-snapshot
Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings 1PII of original article: S0169-409X(96)00423-1. The article was originally published in Advanced Drug Delivery Reviews 23 (1997) 3–25. 1
inferredcites →https://doi.org/10.1016/s0169-409x(96)00423-1openalex-snapshot
Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
inferredcites →https://doi.org/10.1021/ci980008gopenalex-snapshot
Evaluation of Quantitative Structure−Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor
inferredcites →https://doi.org/10.1021/ci980033mopenalex-snapshot
Novel Variable Selection Quantitative Structure−Property Relationship Approach Based on the k -Nearest-Neighbor Principle
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Cross-Validated R2-Guided Region Selection for Comparative Molecular Field Analysis: A Simple Method To Achieve Consistent Results
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A Comparative Molecular Field Analysis Study of N-Benzylpiperidines as Acetylcholinesterase Inhibitors
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Derivation of a Pharmacophore Model for Anandamide Using Constrained Conformational Searching and Comparative Molecular Field Analysis
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Induction of the Estrogen Specific Mitogenic Response of MCF-7 Cells by Selected Analogues of Estradiol-17β: A 3D QSAR Study
inferredcites →https://doi.org/10.1021/jm9705521openalex-snapshot
Three-Dimensional Quantitative Structure−Activity Relationship Study of Nonsteroidal Estrogen Receptor Ligands Using the Comparative Molecular Field Analysis/Cross-Validated r2-Guided Region Selection Approach
inferredcites →https://doi.org/10.1021/tx960054fopenalex-snapshot
Ligand-Based Identification of Environmental Estrogens
inferredcites →https://doi.org/10.1038/39645openalex-snapshot
Molecular basis of agonism and antagonism in the oestrogen receptor
inferredcites →https://doi.org/10.1038/39651openalex-snapshot
Structure at 1.65 Å of RhoA and its GTPase-activating protein in complex with a transition-state analogue
inferredcites →https://doi.org/10.1080/10629369908039177openalex-snapshot
Comparison of Estrogen Receptor α and β Subtypes Based on Comparative Molecular Field Analysis (CoMFA)
inferredcites →https://doi.org/10.1093/toxsci/54.1.138openalex-snapshot
The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands
inferredcites →https://doi.org/10.1210/endo.138.9.5487openalex-snapshot
QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes
inferredcites →https://doi.org/10.1210/endo.139.10.6216openalex-snapshot
Interaction of Estrogenic Chemicals and Phytoestrogens with Estrogen Receptor β
inferredcites →https://doi.org/10.1289/ehp.00108723openalex-snapshot
Quantitative Comparisons of in Vitro Assays for Estrogenic Activities
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Developmental effects of endocrine-disrupting chemicals in wildlife and humans.
inferredcites →https://doi.org/10.1289/ehp.95103s7135openalex-snapshot
Environmental estrogens: health implications for humans and wildlife.
inferredcites →https://doi.org/10.1289/ehp.96104s4715openalex-snapshot
Research needs for the risk assessment of health and environmental effects of endocrine disruptors: a report of the U.S. EPA-sponsored workshop.
inferredcites →https://doi.org/10.1289/ehp.971051116openalex-snapshot
Quantitative Structure-Activity Relationships (QSARs) for Estrogen Binding to the Estrogen Receptor: Predictions across Species
inferredcites →https://doi.org/10.1289/ehp.98106577openalex-snapshot
Identification and Assessment of Endocrine Disruptors: Limitations of in Vivo and in Vitro Assays
inferredcites →https://doi.org/10.1677/joe.0.1520159openalex-snapshot
Endocrine disruptors and reproductive development: a weight-of-evidence overview
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ChemInform Abstract: QSAR Models Using a Large Diverse Set of Estrogens.
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QSARINS: A new software for the development, analysis, and validation of QSAR MLR models
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k‐Nearest neighbors optimization‐based outlier removal
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QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
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Acute Rat and Mouse Oral Toxicity Determination of Anticholinesterase Inhibitor Carbamate Pesticides: A QSTR Approach
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Assessment of Phytoestrogen and Mycoestrogen Recognition by Recombinant Human Estrogen Receptor‐α Using Ligand Titration Arrays
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QSAR Models of the in vitro Estrogen Activity of Bisphenol A Analogs
inferred← citeshttps://doi.org/10.1002/qsar.200390009openalex-snapshot
QSARs for Endocrine Disruption Priority Setting Database 2: The Integrated 4‐Phase Model
inferred← citeshttps://doi.org/10.1002/qsar.200390026openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/qsar.200390027openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/qsar.200510153openalex-snapshot
The Effect of Variable Selection on the Non‐linear Modelling of Oestrogen Receptor Binding
inferred← citeshttps://doi.org/10.1002/qsar.200610003openalex-snapshot
SOMFA on Large Diverse Xenoestrogen Dataset: The Effect of Superposition Algorithms and External Regression Tools
inferred← citeshttps://doi.org/10.1002/qsar.200710118openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/qsar.200860183openalex-snapshot
Development, Validation and Inspection of the Applicability Domain of QSPR Models for Physicochemical Properties of Polybrominated Diphenyl Ethers
inferred← citeshttps://doi.org/10.1002/qua.27260openalex-snapshot
QSPR analysis to predict some quantum chemical properties of 2‐phenylindol derivatives as anticancer drugs using molecular descriptor and genetic algorithm multiple linear regression
inferred← citeshttps://doi.org/10.1002/tox.10027openalex-snapshot
Structure–activity relationships for gene activation oestrogenicity: Evaluation of a diverse set of aromatic chemicals
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A simple method for assessing the psychotomimetic activity of the substituted phenethylamines
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Chemometric Methods and Theoretical Molecular Descriptors in Predictive QSAR Modeling of the Environmental Behavior of Organic Pollutants
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CORAL: QSAR models of CB1 cannabinoid receptor inhibitors based on local and global SMILES attributes with the index of ideality of correlation and the correlation contradiction index
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QSRR modelling for the investigation of gas chromatography retention indices of flavour and fragrance compounds on Carbowax 20 M glass capillary column with the index of ideality of correlation and the consensus modelling
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Holographic QSAR of selected esters
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The importance of outlier detection and training set selection for reliable environmental QSAR predictions
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Evaluation and QSAR modeling on multiple endpoints of estrogen activity based on different bioassays
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Determination and prediction of xenoestrogens by recombinant yeast-based assay and QSAR
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Externally predictive quantitative modeling of supercooled liquid vapor pressure of polychlorinated-naphthalenes through electron-correlation based quantum–mechanical descriptors
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2014.08.072openalex-snapshot
Single-descriptor based quantum-chemical QSPRs for physico-chemical properties of polychlorinated-dibenzo-p-dioxins and -dibenzo-furans (PCDD/Fs): Exploring the role of electron-correlation
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2014.10.025openalex-snapshot
QSTR modeling for predicting aquatic toxicity of pharmacological active compounds in multiple test species for regulatory purpose
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2015.06.022openalex-snapshot
Exploring simple, transparent, interpretable and predictive QSAR models for classification and quantitative prediction of rat toxicity of ionic liquids using OECD recommended guidelines
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2015.06.063openalex-snapshot
Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2018.01.142openalex-snapshot
QSAR prediction of additive and non-additive mixture toxicities of antibiotics and pesticide
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2019.06.064openalex-snapshot
Norm index-based QSTR model to predict the eco-toxicity of ionic liquids towards Leukemia rat cell line
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2023.140855openalex-snapshot
The use of simple structural parameters of organic compounds to assess their PUF-air partition coefficients
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2024.142046openalex-snapshot
Toxicity of individual and mixture of organic compounds to P. Phosphoreum and S. Capricornutum using interpretable simple structural parameters
inferred← citeshttps://doi.org/10.1016/j.chphi.2024.100512openalex-snapshot
Pharmacophore, QSAR, molecular docking, molecular dynamics and ADMET study of trisubstituted benzimidazole derivatives as potent anti-tubercular agents
inferred← citeshttps://doi.org/10.1016/j.commatsci.2017.05.022openalex-snapshot
Refractive indices of diverse data set of polymers: A computational QSPR based study
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2016.01.005openalex-snapshot
Predicting human intestinal absorption of diverse chemicals using ensemble learning based QSAR modeling approaches
inferred← citeshttps://doi.org/10.1016/j.comptc.2016.05.006openalex-snapshot
A quantum biochemistry model of the interaction between the estrogen receptor and the two antagonists used in breast cancer treatment
inferred← citeshttps://doi.org/10.1016/j.drudis.2006.03.014openalex-snapshot
Computational modeling of biologically active molecules using NMR spectra
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2012.03.009openalex-snapshot
Docking and QSAR study on the binding interactions between polycyclic aromatic hydrocarbons and estrogen receptor
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2013.11.020openalex-snapshot
Electron-correlation based externally predictive QSARs for mutagenicity of nitrated-PAHs in Salmonella typhimurium TA100
inferred← citeshttps://doi.org/10.1016/j.egypro.2018.11.216openalex-snapshot
QSER study for half wave potential of some PAHs
inferred← citeshttps://doi.org/10.1016/j.egypro.2018.11.219openalex-snapshot
Soil contamination by pesticides: molecular modeling of octanol / organic carbone partition coefficient
inferred← citeshttps://doi.org/10.1016/j.envint.2016.08.008openalex-snapshot
Hazard of pharmaceuticals for aquatic environment: Prioritization by structural approaches and prediction of ecotoxicity
inferred← citeshttps://doi.org/10.1016/j.envint.2024.109162openalex-snapshot
A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)
inferred← citeshttps://doi.org/10.1016/j.envpol.2016.07.045openalex-snapshot
Quantum-mechanical parameters for the risk assessment of multi-walled carbon-nanotubes: A study using adsorption of probe compounds and its application to biomolecules
inferred← citeshttps://doi.org/10.1016/j.envpol.2024.124565openalex-snapshot
Classification and regression machine learning models for predicting the combined toxicity and interactions of antibiotics and fungicides mixtures
inferred← citeshttps://doi.org/10.1016/j.envres.2015.09.025openalex-snapshot
Evaluation of QSAR models for predicting the partition coefficient (logP) of chemicals under the REACH regulation
inferred← citeshttps://doi.org/10.1016/j.fct.2006.10.025openalex-snapshot
Framework for use of toxicity screening tools in context-based decision-making
inferred← citeshttps://doi.org/10.1016/j.fct.2012.02.010openalex-snapshot
Lack of androgenicity and estrogenicity of the three monomers used in Eastman’s Tritan™ copolyesters
inferred← citeshttps://doi.org/10.1016/j.fluid.2016.06.051openalex-snapshot
New method for assessment of melting points of organic azides using their molecular structures
inferred← citeshttps://doi.org/10.1016/j.fluid.2022.113613openalex-snapshot
A Reliable Model for Quick Prediction of the Melting Points of Acyclic Hydrocarbons
inferred← citeshttps://doi.org/10.1016/j.fluid.2025.114534openalex-snapshot
Mastering carbon nanotube dispersion: A simplified model for industrial and environmental innovation
inferred← citeshttps://doi.org/10.1016/j.fuel.2022.126820openalex-snapshot
An easy method for reliable valuation of flash point temperature of organic ethers
inferred← citeshttps://doi.org/10.1016/j.ijhydene.2023.08.062openalex-snapshot
Modeling of electrocatalytic hydrogen evolution via high voltage alkaline electrolyzer with different nano-electrocatalysts
inferred← citeshttps://doi.org/10.1016/j.jasms.2009.08.017openalex-snapshot
Stereochemical effects during [M-H]− dissociations of epimeric 11-OH-17β-estradiols and distant electronic effects of substituents at C(11) position on gas phase acidity
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2010.04.085openalex-snapshot
Seasonal variation of benzo(a)pyrene in the Spanish airborne PM10. Multivariate linear regression model applied to estimate BaP concentrations
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2013.04.025openalex-snapshot
Daphnia and fish toxicity of (benzo)triazoles: Validated QSAR models, and interspecies quantitative activity–activity modelling
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2015.04.028openalex-snapshot
Externally predictive single-descriptor based QSPRs for physico-chemical properties of polychlorinated-naphthalenes: Exploring relationships of logSW, logKOA, and logKOW with electron-correlation
inferred← citeshttps://doi.org/10.1016/j.jlp.2014.06.007openalex-snapshot
Prediction of the self-accelerating decomposition temperature of organic peroxides using the quantitative structure–property relationship (QSPR) approach
inferred← citeshttps://doi.org/10.1016/j.jmgm.2006.06.005openalex-snapshot
Statistical external validation and consensus modeling: A QSPR case study for Koc prediction
inferred← citeshttps://doi.org/10.1016/j.jmgm.2007.11.005openalex-snapshot
Is it possible to increase hit rates in structure-based virtual screening by pharmacophore filtering? An investigation of the advantages and pitfalls of post-filtering
inferred← citeshttps://doi.org/10.1016/j.jmgm.2010.09.001openalex-snapshot
Prediction of toxicity and data exploratory analysis of estrogen-active endocrine disruptors using counter-propagation artificial neural networks
inferred← citeshttps://doi.org/10.1016/j.jmgm.2013.02.005openalex-snapshot
Does electron-correlation has any role in the quantitative structure–activity relationships?
inferred← citeshttps://doi.org/10.1016/j.jmgm.2019.04.007openalex-snapshot
HQSAR and random forest-based QSAR models for anti-T. vaginalis activities of nitroimidazoles derivatives
inferred← citeshttps://doi.org/10.1016/j.jmgm.2022.108238openalex-snapshot
In silico selectivity modeling of pyridine and pyrimidine based CYP11B1 and CYP11B2 inhibitors: A case study
inferred← citeshttps://doi.org/10.1016/j.jpba.2008.04.008openalex-snapshot
Molecular structural characteristics as determinants of estrogen receptor selectivity
inferred← citeshttps://doi.org/10.1016/j.lddd.2025.100267openalex-snapshot
Design and combinatorial library generation of azole derivatives as anticancer agents: QSAR, molecular docking and dynamic approach
inferred← citeshttps://doi.org/10.1016/j.measurement.2013.08.012openalex-snapshot
QSPR prediction of the solubility of CO2 and N2 in common polymers
inferred← citeshttps://doi.org/10.1016/j.molliq.2015.06.001openalex-snapshot
Predicting acetyl cholinesterase enzyme inhibition potential of ionic liquids using machine learning approaches: An aid to green chemicals designing
inferred← citeshttps://doi.org/10.1016/j.molliq.2015.12.067openalex-snapshot
Computational modeling of ionic liquids density by multivariate chemometrics
inferred← citeshttps://doi.org/10.1016/j.molliq.2019.03.036openalex-snapshot
Norm indexes for predicting enthalpy of vaporization of organic compounds at the boiling point
inferred← citeshttps://doi.org/10.1016/j.molliq.2020.114055openalex-snapshot
Quantitative structure toxicity analysis of ionic liquids toward acetylcholinesterase enzyme using novel QSTR models with index of ideality of correlation and correlation contradiction index
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.05.025openalex-snapshot
Multiple linear regression modeling for compositional data
inferred← citeshttps://doi.org/10.1016/j.neuro.2015.12.013openalex-snapshot
Predicting the acute neurotoxicity of diverse organic solvents using probabilistic neural networks based QSTR modeling approaches
inferred← citeshttps://doi.org/10.1016/j.psep.2016.06.025openalex-snapshot
Reliable method for safety assessment of melting points of energetic compounds
inferred← citeshttps://doi.org/10.1016/j.psep.2019.10.016openalex-snapshot
Reliable prediction of the flash point of organic compounds containing hazardous peroxide functional groups as compared to the best available methods
inferred← citeshttps://doi.org/10.1016/j.psep.2020.10.017openalex-snapshot
The simplest method for reliable prediction of autoignition temperature of organic hydroxyl compounds to assess their process safety in industrial applications
inferred← citeshttps://doi.org/10.1016/j.psep.2022.05.074openalex-snapshot
A simple assessment of toxicity towards Chlorella vulgaris of organic aromatic compounds in environmental protection
inferred← citeshttps://doi.org/10.1016/j.psep.2025.107086openalex-snapshot
Advancing QSAR models for predicting hydrolysis reaction barriers of organophosphorus chemical warfare agents
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.135691openalex-snapshot
Understanding and predicting the diffusivity of organic chemicals for diffusive gradients in thin-films using a QSPR model
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.177425openalex-snapshot
QSAR models for predicting key hormesis parameters of quinolone antibiotic mixtures on Vibrio qinghaiensis sp.-Q67
inferred← citeshttps://doi.org/10.1016/j.watres.2010.11.006openalex-snapshot
Modelling physico-chemical properties of (benzo)triazoles, and screening for environmental partitioning
inferred← citeshttps://doi.org/10.1016/j.watres.2020.115583openalex-snapshot
Application of chemometric methods and QSAR models to support pesticide risk assessment starting from ecotoxicological datasets
inferred← citeshttps://doi.org/10.1016/j.yrtph.2016.03.014openalex-snapshot
A three-tier QSAR modeling strategy for estimating eye irritation potential of diverse chemicals in rabbit for regulatory purposes
inferred← citeshttps://doi.org/10.1016/s0045-6535(02)00839-1openalex-snapshot
Molecular hologram derived quantitative structure–property relationships to predict physico-chemical properties of polychlorinated biphenyls
inferred← citeshttps://doi.org/10.1016/s0045-6535(02)00858-5openalex-snapshot
Screening of high production volume chemicals for estrogen receptor binding activity (II) by the MultiCASE expert system
inferred← citeshttps://doi.org/10.1016/s0045-6535(02)00859-7openalex-snapshot
Structure–activity relationship study of a diverse set of estrogen receptor ligands (I) using MultiCASE expert system
inferred← citeshttps://doi.org/10.1016/s0166-1280(02)00615-2openalex-snapshot
The present status of QSAR in toxicology
inferred← citeshttps://doi.org/10.1016/s0166-1280(02)00623-1openalex-snapshot
QSAR models in receptor-mediated effects: the nuclear receptor superfamily
inferred← citeshttps://doi.org/10.1016/s0300-483x(02)00473-0openalex-snapshot
Scientific issues associated with the validation of in vitro and in vivo methods for assessing endocrine disrupting chemicals
inferred← citeshttps://doi.org/10.1016/s0960-0760(02)00230-3openalex-snapshot
Estrogenic and antiproliferative activities of isoliquiritigenin in MCF7 breast cancer cells
inferred← citeshttps://doi.org/10.1016/s1352-2310(03)00293-0openalex-snapshot
Predicting the NO3 radical tropospheric degradability of organic pollutants by theoretical molecular descriptors
inferred← citeshttps://doi.org/10.1016/s1367-5931(00)00218-0openalex-snapshot
The computational prediction of toxicity
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.8b00130openalex-snapshot
Insight Analysis of Promiscuous Estrogen Receptor α-Ligand Binding by a Novel Machine Learning Scheme
inferred← citeshttps://doi.org/10.1021/acs.energyfuels.0c00081openalex-snapshot
Dehydrating Heavy Crude Oils with New Amphoteric Block Bipolymers
inferred← citeshttps://doi.org/10.1021/acs.iecr.5b03575openalex-snapshot
Three-Tier Strategy for Screening High-Energy Molecules Using Structure–Property Relationship Modeling Approaches
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00139openalex-snapshot
Predicting Toxicities of Diverse Chemical Pesticides in Multiple Avian Species Using Tree-Based QSAR Approaches for Regulatory Purposes
inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00088openalex-snapshot
A Historical Excursus on the Statistical Validation Parameters for QSAR Models: A Clarification Concerning Metrics and Terminology
inferred← citeshttps://doi.org/10.1021/ci200211nopenalex-snapshot
Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient
inferred← citeshttps://doi.org/10.1021/ci300084jopenalex-snapshot
Real External Predictivity of QSAR Models. Part 2. New Intercomparable Thresholds for Different Validation Criteria and the Need for Scatter Plot Inspection
inferred← citeshttps://doi.org/10.1021/ci3001698openalex-snapshot
13C NMR–Distance Matrix Descriptors: Optimal Abstract 3D Space Granularity for Predicting Estrogen Binding
inferred← citeshttps://doi.org/10.1021/ci400392popenalex-snapshot
Hands-off Linear Interaction Energy Approach to Binding Mode and Affinity Estimation of Estrogens
inferred← citeshttps://doi.org/10.1021/ci900115yopenalex-snapshot
Comments on the Definition of the Q 2 Parameter for QSAR Validation
inferred← citeshttps://doi.org/10.1021/envhealth.4c00001openalex-snapshot
Predicting the Time-Dependent Toxicities of Binary Mixtures of Five Antibiotics to Vibrio qinghaiensis sp.-Q67 Based on the QSAR Model
inferred← citeshttps://doi.org/10.1021/es062751sopenalex-snapshot
Identification of Endocrine Disruptor Biodegradation by Integration of Structure–activity Relationship with Pathway Analysis
inferred← citeshttps://doi.org/10.1021/es101181gopenalex-snapshot
Prediction of Aqueous Solubility, Vapor Pressure and Critical Micelle Concentration for Aquatic Partitioning of Perfluorinated Chemicals
inferred← citeshttps://doi.org/10.1021/ie5007432openalex-snapshot
Prediction of Thermophysical Properties for Binary Mixtures of Common Ionic Liquids with Water or Alcohol at Several Temperatures and Atmospheric Pressure by Means of Artificial Neural Network
inferred← citeshttps://doi.org/10.1021/tx000208yopenalex-snapshot
Structure−Activity Relationships for a Large Diverse Set of Natural, Synthetic, and Environmental Estrogens
inferred← citeshttps://doi.org/10.1021/tx100118gopenalex-snapshot
Estrogenic Activity of Anthraquinone Derivatives:In VitroandIn SilicoStudies
inferred← citeshttps://doi.org/10.1021/tx500100mopenalex-snapshot
QSTR Modeling for Qualitative and Quantitative Toxicity Predictions of Diverse Chemical Pesticides in Honey Bee for Regulatory Purposes
inferred← citeshttps://doi.org/10.1021/tx900252hopenalex-snapshot
Per- and Polyfluoro Toxicity (LC50 Inhalation) Study in Rat and Mouse Using QSAR Modeling
inferred← citeshttps://doi.org/10.1023/a:1010924406885openalex-snapshot
Fast Computation of Cross-Validated Properties in Full Linear Leave-Many-Out Procedures
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