On the public citation graph
Identification of the Structural Requirements for Mutagencitiy, by Incorporating Molecular Flexibility and Metabolic Activation of Chemicals. II. General Ames Mutagenicity Model
0 signed · 105 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.1954.03690350086044openalex-snapshot
Textbook of Organic Medicinal and Pharmaceutical Chemistry.
inferredcites →https://doi.org/10.1002/qsar.200330853openalex-snapshot
COREPA‐M: A Multi‐Dimensional Formulation of COREPA
inferredcites →https://doi.org/10.1007/bf00258646openalex-snapshot
The hydrolysis of acetanilide and some of its derivatives by enzymes in the microsomal and soluble fraction prepared from livers of various species
inferredcites →https://doi.org/10.1016/0027-5107(90)90013-topenalex-snapshot
The structural basis of the mutagenicity of chemicals in Salmonella typhimurium: The Gene-Tox Data Base
inferredcites →https://doi.org/10.1016/0027-5107(94)90127-9openalex-snapshot
Application of SAR methods to non-congeneric data bases assocated with carcinogenicity and mutagenicity: Issues and approachs
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/s0166-1280(02)00625-5openalex-snapshot
Dynamic 3D QSAR techniques: applications in toxicology
inferredcites →https://doi.org/10.1016/s0169-409x(02)00012-1openalex-snapshot
Computer systems for the prediction of toxicity: an update
inferredcites →https://doi.org/10.1021/ci0500381openalex-snapshot
A Stepwise Approach for Defining the Applicability Domain of SAR and QSAR Models
inferredcites →https://doi.org/10.1021/jm040835aopenalex-snapshot
Derivation and Validation of Toxicophores for Mutagenicity Prediction
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/10.1042/bj20041330openalex-snapshot
Expression, purification, characterization and structure of Pseudomonas aeruginosa arylamine N-acetyltransferase
inferredcites →https://doi.org/10.1107/s0021889883010985openalex-snapshot
Analytical molecular surface calculation
inferredcites →https://doi.org/10.1146/annurev.bi.51.070182.003255openalex-snapshot
Chemical Mutagenesis
inferredcites →https://doi.org/10.1177/026119299702500303openalex-snapshot
The Development and Validation of Expert Systems for Predicting Toxicity
inferredcites →https://doi.org/10.1177/074823378800400407openalex-snapshot
An Overview of Structure-Activity Relationships as an Alternative To Testing in Animals for Carcinogenicity, Mutagenicity, Dermal and Eye Irritation, and Acute Oral Toxicity
inferredcites →https://doi.org/10.1289/ehp.5760openalex-snapshot
Use of QSARs in international decision-making frameworks to predict health effects of chemical substances.
inferredcites →https://doi.org/10.1289/ehp.96104s51085openalex-snapshot
A Mechanism-Mediated Model for Carcinogenicity: Model Content and Prediction of the Outcome of Rodent Carcinogenicity Bioassays Currently Being Conducted on 25 Organic Chemicals
inferredcites →https://doi.org/10.3109/03602538409029970openalex-snapshot
Domestication of Chemistry by Design of Safer Chemicals: Structure-Activity Relationships
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/0471266949.bmc128openalex-snapshot
Structural Alerts for Toxicity
inferred← citeshttps://doi.org/10.1007/978-1-4419-0197-2_2openalex-snapshot
(Q)SAR Models for Genotoxicity Assessment
inferred← citeshttps://doi.org/10.1007/978-1-62703-059-5_4openalex-snapshot
Mutagenicity, Carcinogenicity, and Other End points
inferred← citeshttps://doi.org/10.1007/978-3-319-56850-8_14openalex-snapshot
Counter-Propagation Artificial Neural Network Models for Prediction of Carcinogenicity of Non-congeneric Chemicals for Regulatory Uses
inferred← citeshttps://doi.org/10.1007/s00204-011-0693-2openalex-snapshot
Alternative (non-animal) methods for cosmetics testing: current status and future prospects—2010
inferred← citeshttps://doi.org/10.1007/s10822-012-9595-5openalex-snapshot
Integrated in silico approaches for the prediction of Ames test mutagenicity
inferred← citeshttps://doi.org/10.1016/b978-0-443-16102-5.00012-2openalex-snapshot
Predictive toxicology of phytochemicals
inferred← citeshttps://doi.org/10.1016/j.antiviral.2008.05.010openalex-snapshot
Identification of polymerase and processivity inhibitors of vaccinia DNA synthesis using a stepwise screening approach
inferred← citeshttps://doi.org/10.1016/j.comtox.2017.02.004openalex-snapshot
Procedure for toxicological predictions based on mechanistic weight of evidences: Application to Ames mutagenicity
inferred← citeshttps://doi.org/10.1016/j.comtox.2019.100108openalex-snapshot
Integrating in silico models for the prediction of mutagenicity (Ames test) of botanical ingredients of cosmetics
inferred← citeshttps://doi.org/10.1016/j.comtox.2020.100143openalex-snapshot
Criteria for assessing the reliability of toxicity predictions: I. TIMES Ames mutagenicity model
inferred← citeshttps://doi.org/10.1016/j.comtox.2021.100167openalex-snapshot
An evaluation of existing QSAR models and structural alerts and development of new ensemble models for genotoxicity using a newly compiled experimental dataset
inferred← citeshttps://doi.org/10.1016/j.comtox.2022.100218openalex-snapshot
Estimating the reliability of simulated metabolism using documented data and theoretical knowledge. QSAR application
inferred← citeshttps://doi.org/10.1016/j.comtox.2025.100394openalex-snapshot
Modeling metabolism: Evolution of toxicodynamic and toxicokinetic considerations. Adding a new kinetics layer
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2019.121638openalex-snapshot
New in silico models to predict in vitro micronucleus induction as marker of genotoxicity
inferred← citeshttps://doi.org/10.1016/j.mrgentox.2011.10.005openalex-snapshot
Effect of reducing the top concentration used in the in vitro chromosomal aberration test in CHL cells on the evaluation of industrial chemical genotoxicity
inferred← citeshttps://doi.org/10.1016/j.mrgentox.2011.12.029openalex-snapshot
Development of new structural alerts suitable for chemical category formation for assigning covalent and non-covalent mechanisms relevant to DNA binding
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2015.11.102openalex-snapshot
Effect-directed analysis supporting monitoring of aquatic environments — An in-depth overview
inferred← citeshttps://doi.org/10.1016/j.taap.2012.03.018openalex-snapshot
VirtualToxLab — A platform for estimating the toxic potential of drugs, chemicals and natural products
inferred← citeshttps://doi.org/10.1016/j.toxlet.2014.09.004openalex-snapshot
OpenVirtualToxLab—A platform for generating and exchanging in silico toxicity data
inferred← citeshttps://doi.org/10.1016/j.toxlet.2016.04.013openalex-snapshot
Molecular mechanisms of endocrine and metabolic disruption: An in silico study on antitrypanosomal natural products and some derivatives
inferred← citeshttps://doi.org/10.1016/j.yrtph.2013.06.002openalex-snapshot
Use of category approaches, read-across and (Q)SAR: General considerations
inferred← citeshttps://doi.org/10.1016/j.yrtph.2014.06.001openalex-snapshot
Towards AOP application – Implementation of an integrated approach to testing and assessment (IATA) into a pipeline tool for skin sensitization
inferred← citeshttps://doi.org/10.1016/j.yrtph.2017.02.015openalex-snapshot
Retrospective mining of toxicology data to discover multispecies and chemical class effects: Anemia as a case study
inferred← citeshttps://doi.org/10.1016/j.yrtph.2019.104427openalex-snapshot
Integrated in silico and in vitro genotoxicity assessment of thirteen data-poor substances
inferred← citeshttps://doi.org/10.1016/j.yrtph.2022.105115openalex-snapshot
Sub-structure-based category formation for the prioritisation of genotoxicity hazard assessment for pesticide residues: Sulphonyl ureas
inferred← citeshttps://doi.org/10.1016/j.yrtph.2023.105484openalex-snapshot
Metabolism-based category formation for the prioritisation of genotoxicity hazard assessment for plant protection product residues (part 3): Strobilurins
inferred← citeshttps://doi.org/10.1016/j.yrtph.2023.105486openalex-snapshot
DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application
inferred← citeshttps://doi.org/10.1016/j.yrtph.2024.105641openalex-snapshot
Metabolism-based category formation for the prioritisation of genotoxicity hazard assessment for plant protection product residues (Part 4): α-Chloroacetamides
inferred← citeshttps://doi.org/10.1016/j.yrtph.2026.106079openalex-snapshot
Metabolism-based category formation for the prioritisation of genotoxicity hazard assessment for plant protection product residues (part 5): Acetyl CoA carboxylase inhibitors
inferred← citeshttps://doi.org/10.1016/j.yrtph.2026.106229openalex-snapshot
Read-across for the prediction of genotoxicity of dimethenamid-P groundwater metabolites: A case study using synthetic chemistry and computational toxicology
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.3c00398openalex-snapshot
MetSim: Integrated Programmatic Access and Pathway Management for Xenobiotic Metabolism Simulators
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.5c00120openalex-snapshot
Toward Metabolic Similarity in Read-Across: A Case Study Using Graph Convolutional Networks to Predict Genotoxicity Outcomes from Simulated Metabolic Networks
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.5c00152openalex-snapshot
Modelling In vitro Mutagenicity Using Multi-Task Deep Learning and REACH Data
inferred← citeshttps://doi.org/10.1021/acs.est.6b05468openalex-snapshot
Mutagenicity in Surface Waters: Synergistic Effects of Carboline Alkaloids and Aromatic Amines
inferred← citeshttps://doi.org/10.1021/ci200075gopenalex-snapshot
Identification of Toxifying and Detoxifying Moieties for Mutagenicity Prediction by Priority Assessment
inferred← citeshttps://doi.org/10.1021/ci900378xopenalex-snapshot
An in Silico Method for Predicting Ames Activities of Primary Aromatic Amines by Calculating the Stabilities of Nitrenium Ions
inferred← citeshttps://doi.org/10.1021/cr100098nopenalex-snapshot
Measurement and Estimation of Electrophilic Reactivity for Predictive Toxicology
inferred← citeshttps://doi.org/10.1021/jm701092nopenalex-snapshot
Oximes: Metabolic Activation and Structure−Allergenic Activity Relationships
inferred← citeshttps://doi.org/10.1021/tx100161jopenalex-snapshot
Use of Genotoxicity Information in the Development of Integrated Testing Strategies (ITS) for Skin Sensitization
inferred← citeshttps://doi.org/10.1021/tx200547sopenalex-snapshot
Investigating the Relationship between in Vitro–in Vivo Genotoxicity: Derivation of Mechanistic QSAR Models for in Vivo Liver Genotoxicity and in Vivo Bone Marrow Micronucleus Formation Which Encompass Metabolism
inferred← citeshttps://doi.org/10.1021/tx3001412openalex-snapshot
Chemoassay Screening of DNA-Reactive Mutagenicity with 4-(4-Nitrobenzyl)pyridine – Application to Epoxides, Oxetanes, and Sulfur Heterocycles
inferred← citeshttps://doi.org/10.1021/tx700249qopenalex-snapshot
Identifying the Structural Requirements for Chromosomal Aberration by Incorporating Molecular Flexibility and Metabolic Activation of Chemicals
inferred← citeshttps://doi.org/10.1038/s41598-024-69157-1openalex-snapshot
Assessment of performance of the profilers provided in the OECD QSAR toolbox for category formation of chemicals
inferred← citeshttps://doi.org/10.1039/9781849732093-00385openalex-snapshot
Tools for Category Formation and Read-Across: Overview of the OECD (Q)SAR Application Toolbox
inferred← citeshttps://doi.org/10.1039/d4me00038bopenalex-snapshot
Applying local interpretable model-agnostic explanations to identify substructures that are responsible for mutagenicity of chemical compounds
inferred← citeshttps://doi.org/10.1080/10408444.2017.1318822openalex-snapshot
Origin of the TTC values for compounds that are genotoxic and/or carcinogenic and an approach for their re-evaluation
inferred← citeshttps://doi.org/10.1080/10590501.2014.877648openalex-snapshot
Performance of (Q)SAR Models for Predicting Ames Mutagenicity of Aryl Azo and Benzidine Based Compounds
inferred← citeshttps://doi.org/10.1080/10590501.2014.938955openalex-snapshot
Evaluation of QSAR Models for the Prediction of Ames Genotoxicity: A Retrospective Exercise on the Chemical Substances Registered Under the EU REACH Regulation
inferred← citeshttps://doi.org/10.1080/1062936x.2010.528447openalex-snapshot
Can mutagenicity information be useful in an Integrated Testing Strategy (ITS) for skin sensitization?
inferred← citeshttps://doi.org/10.1080/1062936x.2010.528598openalex-snapshot
Evaluation of the OECD (Q)SAR Application Toolbox and Toxtree for predicting and profiling the carcinogenic potential of chemicals
inferred← citeshttps://doi.org/10.1080/1062936x.2011.569508openalex-snapshot
Androgen receptor binding affinity: a QSAR evaluation
inferred← citeshttps://doi.org/10.1080/1062936x.2012.657236openalex-snapshot
Role ofin silicogenotoxicity tools in the regulatory assessment of pharmaceutical impurities
inferred← citeshttps://doi.org/10.1080/1062936x.2012.679689openalex-snapshot
Simulation of chemical metabolism for fate and hazard assessment. V. Mammalian hazard assessment
inferred← citeshttps://doi.org/10.1080/1062936x.2016.1243152openalex-snapshot
Improving confidence in (Q)SAR predictions under Canada’s Chemicals Management Plan – a chemical space approach
inferred← citeshttps://doi.org/10.1080/13102818.2023.2263570openalex-snapshot
Bigel formulations of St. John’s wort extract in wound healing: toxicological aspects
inferred← citeshttps://doi.org/10.1093/mutage/geaf009openalex-snapshot
N-nitrosamines: in silico modelling of DNA reactivity and identification of metabolic precursors
inferred← citeshttps://doi.org/10.1093/mutage/gey045openalex-snapshot
In silico model for mutagenicity (Ames test), taking into account metabolism
inferred← citeshttps://doi.org/10.1142/s1088424621500334openalex-snapshot
Computational prediction of photosensitizers’ toxicity
inferred← citeshttps://doi.org/10.11546/cicsj.28.2openalex-snapshot
Safety Assessment of Drug Metabolites — Shifting the Paradigm with In Silico Prediction?
inferred← citeshttps://doi.org/10.1177/026119290903700506openalex-snapshot
In Silico Toxicology in Drug Discovery — Concepts Based on Three-dimensional Models
inferred← citeshttps://doi.org/10.1177/026119290903700512openalex-snapshot
The use of Mechanisms and Modes of Toxic Action in Integrated Testing Strategies: The Report and Recommendations of a Workshop held as part of the European Union OSIRIS Integrated Project
inferred← citeshttps://doi.org/10.1186/s12302-023-00749-wopenalex-snapshot
Screening and prioritising persistent, mobile and toxic chemicals: development and application of a robust scoring system
inferred← citeshttps://doi.org/10.1186/s13321-016-0117-7openalex-snapshot
ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling
inferred← citeshttps://doi.org/10.1186/s41021-020-00163-1openalex-snapshot
An assessment of mutagenicity of chemical substances by (quantitative) structure–activity relationship
inferred← citeshttps://doi.org/10.1517/17425255.2010.495118openalex-snapshot
The computational prediction of genotoxicity
inferred← citeshttps://doi.org/10.1787/9789264221482-enopenalex-snapshot
The Guidance Document for Using the OECD (Q)SAR Application Toolbox to Develop Chemical Categories According to the OECD Guidance on Grouping Chemicals
inferred← citeshttps://doi.org/10.24377/ljmu.t.00011366openalex-snapshot
In Silico Classification of Industrial Chemicals Associated with Acute Aquatic Toxic Action Utilising Molecular Initiating Events
inferred← citeshttps://doi.org/10.2741/e625openalex-snapshot
A step change towards risk assessment in the 21st century
inferred← citeshttps://doi.org/10.2788/26123openalex-snapshot
Review of QSAR Models and Software Tools for Predicting of Genotoxicity and Carcinogenicity
inferred← citeshttps://doi.org/10.3109/10408444.2010.494175openalex-snapshot
A review of the electrophilic reaction chemistry involved in covalent DNA binding
inferred← citeshttps://doi.org/10.3897/pharmacia.70.e107041openalex-snapshot
In silico study of the toxicity of hyperforin and its metabolites
inferred← citeshttps://doi.org/10.3923/crc.2012.1.17openalex-snapshot
Mass Spectrometric Investigation of Liver Proteins Isolated from 2-Aminoanthracene Exposed Fisher-344 Rats
inferred← citeshttps://doi.org/10.4103/0971-6580.128796openalex-snapshot
Time-dependent regulation of apoptosis by aen and bax in response to 2-Aminoanthracene dietary consumption
inferred← citeshttps://doi.org/10.5620/eaht.2020016openalex-snapshot
Assessment of the cytotoxic and mutagenic potential of dichlorvos (DDVP) using in silico classification model; a health hazard awareness in Nigeria
inferred← citeshttps://doi.org/10.6084/m9.figshare.26593577openalex-snapshot
Additional file 1 of Screening and prioritising persistent, mobile and toxic chemicals: development and application of a robust scoring system
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.