Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop auto-Modeller
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DOI[10.1186/s41021-021-00182-6]to the data of the same series
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- Material Type
- 記事
- Author/Editor
- Toshio KasamatsuAiri KitazawaSumie Tajima
- Publication, Distribution, etc.
- Publication Date
- 2021-04-30
- Publication Date (W3CDTF)
- 2021-04-30
- Periodical title
- Genes and environment
- No. or year of volume/issue
- 43(16)
- Volume
- 43(16)
- ISSN (Periodical Title)
- 1880-7062
- ISSN-L (Periodical Title)
- 1880-7046
- Text Language Code
- eng
- DOI
- 10.1186/s41021-021-00182-6
- Persistent ID (NDL)
- info:ndljp/pid/11865404
- Collection
- Collection (Materials For Handicapped People:1)
- Collection (particular)
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- Acquisition Basis
- オンライン資料収集制度
- Date Accepted (W3CDTF)
- 2021-11-08T20:11:27+09:00
- Date Captured (W3CDTF)
- 2021-11-02
- Format (IMT)
- application/pdf
- Access Restrictions
- 国立国会図書館内限定公開
- Service for the Digitized Contents Transmission Service
- 図書館・個人送信対象外
- Availability of remote photoduplication service
- 可
- Periodical Title (URI)
- Periodical Title (Persistent ID (NDL))
- info:ndljp/pid/11667886
- Data Provider (Database)
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- Summary, etc.
- コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- DOI
- 10.1186/s41021-021-00182-6
- Access Restrictions
- インターネット公開
- Related Material
- Additional file 1 of Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop™ auto-Modeller™
- Related Material (URI)
- Is Referenced By
- Genotoxicity assessment of food-flavoring chemicals used in JapanIn vivo and in vitro mutagenicity of perillaldehyde and cinnamaldehyde
- References
- Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analysesDNA breaking activity and mutagenicity of soy sauce: characterization of the active components and identification ofMutagenic compounds in wood-chip drying fumesValidation of the (Q)SAR combination approach for mutagenicity prediction of flavor chemicalsUnsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data SetsThresholds of Toxicological Concern for Genotoxic Impurities in PharmaceuticalsIt's difficult, but important, to make negative predictionsThe Japan Flavour and Fragrance Materials Association’s (JFFMA) safety assessment of acetal food flavouring substances uniquely used in JapanComparison of the Ames II and traditional Ames test responses with respect to mutagenicity, strain specificities, need for metabolism and correlation with rodent carcinogenicityThe structural basis of the mutagenicity of chemicals in Salmonella typhimurium: The Gene-Tox Data BaseStudy of artificial flavouring substances for mutagenicity in the salmonella/microsome, Basc and micronucleus testsImprovement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge ProjectFormation of Categories from Structure−Activity Relationships To Allow Read-Across for Risk Assessment: Toxicity of α,β-Unsaturated Carbonyl CompoundsThe Ames Salmonella/microsome mutagenicity assayMutagenicity of cosmetics ingredients licensed by the European CommunitiesEvaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtainedBenchmark Data Set for in Silico Prediction of Ames MutagenicityGenotoxic effects of allyl isothiocyanate (AITC) and phenethyl isothiocyanate (PEITC)Mechanisms of Chemical Carcinogenicity and Mutagenicity: A Review with Implications for Predictive ToxicologyScreening for Ames mutagenicity of food flavor chemicals by (quantitative) structure-activity relationshipAn assessment of mutagenicity of chemical substances by (quantitative) structure–activity relationship
- Data Provider (Database)
- 国立情報学研究所 : CiNii Research
- Original Data Provider (Database)
- 雑誌記事索引データベースCrossref科学研究費助成事業データベースCrossrefCrossref
- Bibliographic ID (NDL)
- 11865404