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Quantitative structure-activity relationships for predicting mutagenicity and carcinogenicity
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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/10.1002/(sici)1098-2280(1998)32:1<75::aid-em9>3.0.co;2-aopenalex-snapshot
QSAR models for discriminating between mutagenic and nonmutagenic aromatic and heteroaromatic amines
inferredcites →https://doi.org/10.1002/(sici)1521-3838(199901)18:1<03::aid-qsar3>3.0.co;2-popenalex-snapshot
A Comprehensive QSAR Treatment of the Genotoxicity of Heteroaromatic and Aromatic Amines
inferredcites →https://doi.org/10.1002/(sici)1521-3838(199906)18:2<139::aid-qsar139>3.0.co;2-kopenalex-snapshot
New developments in a hazard identification algorithm for hormone receptor ligands
inferredcites →https://doi.org/10.1002/1098-2280(2001)37:1<55::aid-em1006>3.0.co;2-5openalex-snapshot
Evaluation of the TOPKAT system for predicting the carcinogenicity of chemicals
inferredcites →https://doi.org/10.1002/em.2850170103openalex-snapshot
Quantitative structure‐activity relationships of heterocyclic amine mutagens formed during the cooking of food
inferredcites →https://doi.org/10.1002/em.2850190107openalex-snapshot
A QSAR investigation of the role of hydrophobicity in regulating mutagenicity in the ames test: 1. Mutagenicity of aromatic and heteroaromatic amines in Salmonella typhimurium TA98 and TA100
inferredcites →https://doi.org/10.1002/em.2850190108openalex-snapshot
Quantitative structure‐activity relationship investigation of the role of hydrophobicity in regulating mutagenicity in the Ames test: 2. Mutagenicity of aromatic and heteroaromatic nitro compounds in Salmonella typhimurium TA100
inferredcites →https://doi.org/10.1002/em.2850210114openalex-snapshot
Structural basis of the mutagenicity of heterocyclic amines formed during the cooking processes
inferredcites →https://doi.org/10.1002/em.2850240310openalex-snapshot
QSAR models for both mutagenic potency and activity: Application to nitroarenes and aromatic amines
inferredcites →https://doi.org/10.1002/qsar.19950140605openalex-snapshot
QSAR in Toxicology. 4. Prediction of Non‐lethal Mammalian Toxicological Endpoints, and Expert Systems for Toxicity Prediction
inferredcites →https://doi.org/10.1006/rtph.1998.1259openalex-snapshot
A New Highly Specific Method for Predicting the Carcinogenic Potential of Pharmaceuticals in Rodents Using EnhancedMCASEQSAR-ES Software
inferredcites →https://doi.org/10.1016/0009-2797(92)90023-eopenalex-snapshot
Relative stabilities of nitrenium ions derived from polycyclic aromatic amines. Relationship to mutagenicity
inferredcites →https://doi.org/10.1016/0009-2797(92)90024-fopenalex-snapshot
Relative stabilities of nitrenium ions derived from heterocyclic amine food carcinogens: Relationship to mutagenicity
inferredcites →https://doi.org/10.1016/0009-2797(92)90032-gopenalex-snapshot
The structure-activity relationship of skin carcinogenicity of aromatic hydrocarbons and heterocycles
inferredcites →https://doi.org/10.1016/0027-5107(93)90003-xopenalex-snapshot
The influence of chemical structure on the extent and sites of carcinogenesis for 522 rodent carcinogens and 55 different human carcinogen exposures
inferredcites →https://doi.org/10.1016/0027-5107(94)90122-8openalex-snapshot
Two million rodent carcinogens? The role of SAR and QSAR in their detection
inferredcites →https://doi.org/10.1016/0027-5107(94)90124-4openalex-snapshot
Approaches to SAR in carcinogenesis and mutagenesis. Prediction of carcinogenicity/mutagenicity using MULTI-CASE
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/10.1016/0027-5107(94)90220-8openalex-snapshot
The structural basis of the genotoxicity of nitroarenofurans and related compounds
inferredcites →https://doi.org/10.1016/0045-6535(95)00122-oopenalex-snapshot
Predicting mutagenicity of chemicals using topological and quantum chemical parameters: A similarity based study
inferredcites →https://doi.org/10.1016/0165-1161(87)90054-9openalex-snapshot
Computer-assisted structure-activity relationships of nitrogenous cyclic compounds tested in Salmonella assays for mutagenicity
inferredcites →https://doi.org/10.1016/0165-1218(88)90114-0openalex-snapshot
Chemical structure, Salmonella mutagenicity and extent of carcinogenicity as indicators of genotoxic carcinogenesis among 222 chemicals tested in rodents by the U.S. NCI/NTP
inferredcites →https://doi.org/10.1016/0165-1218(92)90018-uopenalex-snapshot
Mutagenicity of quinolines in Salmonella typhimurium TA100. A QSAR study based on hydrophobicity and molecular orbital determinants
inferredcites →https://doi.org/10.1016/s0027-5107(98)00161-4openalex-snapshot
Profiles of chemically-induced tumors in rodents: quantitative relationships
inferredcites →https://doi.org/10.1016/s0165-1218(96)90092-0openalex-snapshot
QSARS of mutagens and carcinogens: Two case studies illustrating problems in the construction of models for noncongeneric chemicals
inferredcites →https://doi.org/10.1016/s0300-483x(97)03631-7openalex-snapshot
Computational predictive programs (expert systems) in toxicology
inferredcites →https://doi.org/10.1016/s0378-4274(98)00270-7openalex-snapshot
Toxicity prediction of chemicals based on structure-activity relationships
inferredcites →https://doi.org/10.1021/bk-1996-0640.ch003openalex-snapshot
Cancer Risk Reduction Through Mechanism-Based Molecular Design of Chemicals
inferredcites →https://doi.org/10.1021/cr00030a003openalex-snapshot
Quantitative Structure-Activity Relationship Studies on Anticancer Drugs
inferredcites →https://doi.org/10.1021/cr9901079openalex-snapshot
Quantitative Structure−Activity Relationships of Mutagenic and Carcinogenic Aromatic Amines
inferredcites →https://doi.org/10.1021/es970451sopenalex-snapshot
A Computationally-Based Hazard Identification Algorithm That Incorporates Ligand Flexibility. 1. Identification of Potential Androgen Receptor Ligands
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/ja01062a035openalex-snapshot
p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical Structure
inferredcites →https://doi.org/10.1021/jm00135a003openalex-snapshot
Computer-assisted structure-activity studies of chemical carcinogens. Aromatic amines
inferredcites →https://doi.org/10.1021/jm00178a019openalex-snapshot
Mutagenicity of substituted (o-phenylenediamine)platinum dichloride in the Ames test. A quantitative structure-activity analysis
inferredcites →https://doi.org/10.1021/tx030049topenalex-snapshot
Identification of the Structural Requirements for Mutagenicity by Incorporating Molecular Flexibility and Metabolic Activation of Chemicals I: TA100 Model
inferredcites →https://doi.org/10.1080/1062936021000020044openalex-snapshot
Development and validation of an average mammalian estrogen receptor-based QSAR model
inferredcites →https://doi.org/10.1093/carcin/22.9.1561openalex-snapshot
Prediction of rodent carcinogenicity of aromatic amines: a quantitative structure-activity relationships model
inferredcites →https://doi.org/10.1093/mutage/11.5.471openalex-snapshot
Prediction of Salmonella mutagenicity
inferredcites →https://doi.org/10.1093/toxsci/56.2.351openalex-snapshot
Mutagenicity Studies of Benzidine and Its Analogs: Structure-Activity Relationships
inferredcites →https://doi.org/10.1126/science.3554512openalex-snapshot
Prediction of Chemical Carcinogenicity in Rodents from in Vitro Genetic Toxicity Assays
inferredcites →https://doi.org/10.1177/026119299702500303openalex-snapshot
The Development and Validation of Expert Systems for Predicting Toxicity
inferredcites →https://doi.org/10.1177/096032719101000405openalex-snapshot
Computer Prediction of Possible Toxic Action from Chemical Structure; The DEREK System
inferredcites →https://doi.org/10.1177/096032719801701009openalex-snapshot
A combined COMPACT and HazardExpert study of 40 chemicals for which information on mutagenicity and carcinogenicity is known, including the results of human epidemiological studies
inferredcites →https://doi.org/10.1289/ehp.8561329openalex-snapshot
Computer-Assisted Studies of Molecular Structure and Genotoxic Activity by Pattern Recognition Techniques
inferredcites →https://doi.org/10.1289/ehp.9193233openalex-snapshot
Target Organs in Chronic Bioassays of 533 Chemical Carcinogens
inferredcites →https://doi.org/10.1289/ehp.91965openalex-snapshot
Carcinogenicity Evaluations and Ongoing Studies: The IARC Databases
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Structure–Activity Relationships for Carcinogenic Potential
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inferred← citeshttps://doi.org/10.1016/j.scitotenv.2012.06.064openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tiv.2016.12.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tox.2008.07.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.yrtph.2016.02.005openalex-snapshot
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