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A Novel Logic-Based Approach for Quantitative Toxicology Prediction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow ( Pimephales promelas )
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MULTIPLE COMPUTER-AUTOMATED STRUCTURE EVALUATION STUDY OF AQUATIC TOXICITY II. FATHEAD MINNOW
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Atomic physicochemical parameters for three dimensional structure directed quantitative structure‐activity relationships III: Modeling hydrophobic interactions
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Structure Activity Relationships (SAR) and Pharmacophore Discovery Using Inductive Logic Programming (ILP)
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Categorical Regression of Toxicity Data: A Case Study Using Aldicarb
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Support Vector Inductive Logic Programming
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Theory Completion Using Inverse Entailment
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Partial least-squares regression: a tutorial
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Use of SAR in computer-assited prediction of carcinogenicity and mutagenicity of chemicals by the TOPKAT program
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Classifying environmental pollutants
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Quantitative structure-toxicity relationships for 80 chlorinated compounds using quantum chemical descriptors
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Molecular aspects of toxicology
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Molecular aspects of toxicology
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Inductive Logic Programming: Theory and methods
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Suppression by phthalates of the calcium signaling of human nicotinic acetylcholine receptors in human neuroblastoma SH-SY5Y cells
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Distributed structure-searchable toxicity (DSSTox) public database network: a proposal
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Classifying environmental pollutants: Part 3. External validation of the classification system
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Using probabilistic neural networks to model the toxicity of chemicals to the fathead minnow (Pimephales promelas): A study based on 865 compounds
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Computational predictive programs (expert systems) in toxicology
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ESP: A Method To Predict Toxicity and Pharmacological Properties of Chemicals Using Multiple MCASE Databases
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Modeling the Toxicity of Aromatic Compounds toTetrahymena pyriformis: The Response Surface Methodology with Nonlinear Methods
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Predictive Models for Aquatic Toxicity of Aldehydes Designed for Various Model Chemistries
inferredcites →https://doi.org/10.1021/ci0499368openalex-snapshot
Prediction of Noninteractive Mixture Toxicity of Organic Compounds Based on a Fuzzy Set Method
inferredcites →https://doi.org/10.1021/jm0155244openalex-snapshot
New Approach to Pharmacophore Mapping and QSAR Analysis Using Inductive Logic Programming. Application to Thermolysin Inhibitors and Glycogen Phosphorylase b Inhibitors
inferredcites →https://doi.org/10.1021/jm970232hopenalex-snapshot
Structure−Activity Relationships for the Antileishmanial and Antitrypanosomal Activities of 1‘-Substituted 9-Anilinoacridines
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Role of Fluorescence Line-Narrowing Spectroscopy and Related Luminescence-Based Techniques in the Elucidation of Mechanisms of Tumor Initiation by Polycyclic Aromatic Hydrocarbons and Estrogens
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Computational Studies on Biphenyl Derivatives. Analysis of the Conformational Mobility, Molecular Electrostatic Potential, and Dipole Moment of Chlorinated Biphenyl: Searching for the Rationalization of the Selective Toxicity of Polychlorinated Biphenyls (PCBs)
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Assessment and Modeling of the Toxicity of Organic Chemicals to Chlorella vulgaris: Development of a Novel Database
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Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
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Role of hydrophobic effects in mechanistic QSAR
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QSPR: the correlation and quantitative prediction of chemical and physical properties from structure
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Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
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Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.
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A survey of the Predictive Toxicology Challenge 2000–2001
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Computer Prediction of Possible Toxic Action from Chemical Structure; The DEREK System
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The Estrogenic Activity of Phthalate Esters in Vitro
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Principles of Biochemical Toxicology
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Principles of Biochemical Toxicology
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Advances in Computational Systems Biology
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A Novel Logic‐Based Approach for Quantitative Toxicology Prediction.
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