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QSAR Prediction of Estrogen Activity for a Large Set of Diverse Chemicals under the Guidance of OECD Principles
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Handbook of Molecular Descriptors
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Chemometric Methods in Molecular Design
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Spectroscopic QSAR Methods and Self-Organizing Molecular Field Analysis for Relating Molecular Structure and Estrogenic Activity
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MTD−PLS: A PLS Variant of the Minimal Topologic Difference Method. III. Mapping Interactions between Estradiol Derivatives and the Alpha Estrogenic Receptor
inferredcites →https://doi.org/10.1021/ci0501645openalex-snapshot
Variable Selection and Interpretation in Structure−Affinity Correlation Modeling of Estrogen Receptor Binders
inferredcites →https://doi.org/10.1021/ci050212lopenalex-snapshot
Statistically Validated QSARs, Based on Theoretical Descriptors, for Modeling Aquatic Toxicity of Organic Chemicals in Pimephales promelas (Fathead Minnow)
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inferredcites →https://doi.org/10.1021/es049665hopenalex-snapshot
Consensus kNN QSAR: A Versatile Method for Predicting the Estrogenic Activity of Organic Compounds In Silico. A Comparative Study with Five Estrogen Receptors and a Large, Diverse Set of Ligands
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Quantitative Structure-Activity Relationships/Comparative Molecular Field Analysis (QSAR/CoMFA) for Receptor-Binding Properties of Halogenated Estradiol Derivatives
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New Insights on the Activity and Selectivity of MAO-B Inhibitors through In Silico Methods
inferred← citeshttps://doi.org/10.3390/molecules15031987openalex-snapshot
QSAR Models for Reproductive Toxicity and Endocrine Disruption Activity
inferred← citeshttps://doi.org/10.3390/molecules17088982openalex-snapshot
Prediction of Acute Mammalian Toxicity Using QSAR Methods: A Case Study of Sulfur Mustard and Its Breakdown Products
inferred← citeshttps://doi.org/10.3390/s18041010openalex-snapshot
Single-Kernel FT-NIR Spectroscopy for Detecting Supersweet Corn (Zea mays L. Saccharata Sturt) Seed Viability with Multivariate Data Analysis
inferred← citeshttps://doi.org/10.4018/ijqspr.20200701.oa1openalex-snapshot
Principles of QSAR Modeling
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.610-613.3574openalex-snapshot
Studies on the Toxicity of Aromatic Hydrocarbons on Chorella Vulgaris by 3D-QSAR Using CoMFA and CoMSIA Methods
inferred← citeshttps://doi.org/10.5204/thesis.eprints.203905openalex-snapshot
Transformation and degradation of organic pollutants on urban road surfaces
inferred← citeshttps://doi.org/10.70675/41b22f7az01dcz48abzaa5ez4d3ae90798c7openalex-snapshot
Comprehensive data analysis and predictive chemoinformatics models for REACH related physicochemical and (eco)toxicity properties
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