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Application of QSTRs in the Selection of a Surrogate Toxicity Value for a Chemical of Concern
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0009-2797(79)90043-7openalex-snapshot
Metabolic and mutagenicity studies on DDT and 15 derivatives. Detection of 1.1-bis(p-chlorophenyl)-2,2-dichloroethane and 1.1-bis(p-chlorophenyl)-2,2,2-trichloroethyl acetate (kelthane acetate) as mutagens in Salmonella typhimurium and of 1.1-bis(p-chlorophenyl) ethylene oxide, a likely…
inferredcites →https://doi.org/10.1016/0165-1110(80)90002-0openalex-snapshot
Validation and comparative studies on 180 chemicals with S. typhimurium strains and V79 Chinese hamster cells in the presence of various metabolizing systems
inferredcites →https://doi.org/10.1016/0273-2300(88)90047-5openalex-snapshot
Reference dose (RfD): Description and use in health risk assessments
inferredcites →https://doi.org/10.1021/ci00053a005openalex-snapshot
Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophobic interactions
inferredcites →https://doi.org/10.1021/ci960028nopenalex-snapshot
Assessment of n-Octanol/Water Partition Coefficient: When Is the Assessment Reliable?
inferredcites →https://doi.org/10.1042/bj0680584openalex-snapshot
Studies in detoxication. 74. The metabolism of benzhydrol, benzophenone and p-hydroxybenzophenone
inferredcites →https://doi.org/10.1139/y71-076openalex-snapshot
Comparative Metabolim of Chlorobenzilate, Chloropropylate, and Bromopropylate Acaricides by Rat Hepatic Enzymes
inferredcites →https://doi.org/10.3109/00498258709167409openalex-snapshot
Metabolism of a dicofol impurity α-chloro-DDT, but not dicofol or dechlorodicofol, to DDE in mice and a liver microsomal system
inferredcites →https://doi.org/10.4135/9781483302782.n95openalex-snapshot
Environmental Protection Agency
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470744307.gat079openalex-snapshot
Structure–Activity Relationships for Carcinogenic Potential
inferred← citeshttps://doi.org/10.1007/978-1-62703-059-5_14openalex-snapshot
Developmental Toxicity Prediction
inferred← citeshttps://doi.org/10.1007/s00044-015-1444-3openalex-snapshot
In silico evaluation of 6-(2,6-dichlorophenyl)-pyrido[2,3-d]pyrimidin-7(8H)-one compounds: an insight into design of less toxic anticancer drugs
inferred← citeshttps://doi.org/10.1007/s00204-010-0532-xopenalex-snapshot
Chronic oral LOAEL prediction by using a commercially available computational QSAR tool
inferred← citeshttps://doi.org/10.1016/j.apr.2023.102010openalex-snapshot
Concentration and health risk assessment of volatile organic compounds from a closed solid waste landfill site: The role of flaring system
inferred← citeshttps://doi.org/10.1016/j.aquatox.2004.10.006openalex-snapshot
Contaminants as viral cofactors: assessing indirect population effects
inferred← citeshttps://doi.org/10.1016/j.ecoenv.2013.01.010openalex-snapshot
A novel UV-MALDI-MS analytical approach for determination of halogenated phenyl-containing pesticides
inferred← citeshttps://doi.org/10.1016/j.taap.2008.09.028openalex-snapshot
Development of quantitative structure–activity relationship (QSAR) models to predict the carcinogenic potency of chemicals
inferred← citeshttps://doi.org/10.1016/j.yrtph.2012.06.008openalex-snapshot
Joint toxicity of alkoxyethanol mixtures: Contribution of in silico applications
inferred← citeshttps://doi.org/10.1021/acs.est.5b05327openalex-snapshot
Estimating the Potential Toxicity of Chemicals Associated with Hydraulic Fracturing Operations Using Quantitative Structure–Activity Relationship Modeling
inferred← citeshttps://doi.org/10.1021/ci049903sopenalex-snapshot
Assessment of the Oral Rat Chronic Lowest Observed Adverse Effect Level Model in TOPKAT, a QSAR Software Package for Toxicity Prediction
inferred← citeshttps://doi.org/10.1021/tx700296topenalex-snapshot
3D-MEDNEs: An Alternative “in Silico” Technique for Chemical Research in Toxicology. 2. Quantitative Proteome−Toxicity Relationships (QPTR) based on Mass Spectrum Spiral Entropy
inferred← citeshttps://doi.org/10.1093/toxsci/kfs159openalex-snapshot
A Comprehensive Statistical Analysis of Predicting In Vivo Hazard Using High-Throughput In Vitro Screening
inferred← citeshttps://doi.org/10.2788/60766openalex-snapshot
Review of QSAR Models and Software Tools for predicting Acute and Chronic Systemic Toxicity
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