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Integration of Structure−Activity Relationship and Artificial Intelligence Systems To Improve in Silico Prediction of Ames Test Mutagenicity
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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/(sici)1098-1128(199605)16:3<267::aid-med3>3.0.co;2-xopenalex-snapshot
Quantitative structure-activity relationship (QSAR) studies of mutagens and carcinogens
inferredcites →https://doi.org/10.1007/3-540-45428-4_29openalex-snapshot
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
inferredcites →https://doi.org/10.1007/978-3-642-48736-1_5openalex-snapshot
Measuring Intra-Assay Agreement for the Ames Salmonella Assay
inferredcites →https://doi.org/10.1016/0027-5107(94)90125-2openalex-snapshot
Use of SAR in computer-assited prediction of carcinogenicity and mutagenicity of chemicals by the TOPKAT program
inferredcites →https://doi.org/10.1016/0165-1110(91)90002-dopenalex-snapshot
Classification according to chemical structure, mutagenicity to Salmonella and level of carcinogenicity of a further 39 chemicals tested for carcinogenicity by the U.S. National Toxicology Program
inferredcites →https://doi.org/10.1016/0300-483x(95)03190-qopenalex-snapshot
Computer prediction of possible toxic action from chemical structure: an update on the DEREK system
inferredcites →https://doi.org/10.1016/s0027-5107(01)00161-0openalex-snapshot
Predicting toxicity: a mechanism of action model of chemical mutagenicity
inferredcites →https://doi.org/10.1016/s0169-7439(01)00181-2openalex-snapshot
Mixture deconvolution and analysis of Ames mutagenicity data
inferredcites →https://doi.org/10.1016/s1093-3263(02)00204-8openalex-snapshot
Assessing the performance of OMEGA with respect to retrieving bioactive conformations
inferredcites →https://doi.org/10.1016/s1359-6446(05)03505-1openalex-snapshot
Computational prediction of genotoxicity: room for improvement
inferredcites →https://doi.org/10.1021/ci00057a005openalex-snapshot
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
inferredcites →https://doi.org/10.1021/ci034254qopenalex-snapshot
Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds
inferredcites →https://doi.org/10.1021/ci0503715openalex-snapshot
Substructure Mining Using Elaborate Chemical Representation
inferredcites →https://doi.org/10.1021/cr030049yopenalex-snapshot
Structure−Activity Relationship Studies of Chemical Mutagens and Carcinogens: Mechanistic Investigations and Prediction Approaches
inferredcites →https://doi.org/10.1021/ja00336a004openalex-snapshot
Artificial intelligence approach to structure-activity studies. Computer automated structure evaluation of biological activity of organic molecules
inferredcites →https://doi.org/10.1021/ja00336a005openalex-snapshot
Orbital interactions in some polycycloalkyl halides: a photoelectron spectroscopic study
inferredcites →https://doi.org/10.1021/jm040835aopenalex-snapshot
Derivation and Validation of Toxicophores for Mutagenicity Prediction
inferredcites →https://doi.org/10.1023/a:1007601015854openalex-snapshot
Robust Classification for Imprecise Environments
inferredcites →https://doi.org/10.1023/a:1015930826903openalex-snapshot
Reproducing the conformations of protein-bound ligands: A critical evaluation of several popular conformational searching tools
inferredcites →https://doi.org/10.1080/10629360290023340openalex-snapshot
Fragment generation and support vector machines for inducing SARs
inferredcites →https://doi.org/10.1093/mutage/5.4.305openalex-snapshot
Prediction of probability of carcinogenicity for a set of ongoing NTP bioassays
inferredcites →https://doi.org/10.1093/mutage/geh043openalex-snapshot
Three new consensus QSAR models for the prediction of Ames genotoxicity
inferredcites →https://doi.org/10.1177/096032719101000405openalex-snapshot
Computer Prediction of Possible Toxic Action from Chemical Structure; The DEREK System
inferredcites →https://doi.org/10.1289/ehp.01109953openalex-snapshot
Estimating the Extent of the Health Hazard Posed by High-Production Volume Chemicals
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Short‐term Tests for the Determination of Genotoxic and Carcinogenic Potential of Xenobiotics
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Integration of Structure—Activity Relationship and Artificial Intelligence Systems to Improve in silico Prediction of Ames Test Mutagenicity.
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inferred← citeshttps://doi.org/10.3390/molecules17055255openalex-snapshot
Mutagenicity of Flavonoids Assayed by Bacterial Reverse Mutation (Ames) Test
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