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電子書籍・電子雑誌Genes and environment
Volume number43
Developmen...

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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Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop auto-Modeller

Persistent ID (NDL)
info:ndljp/pid/11865404
Material type
記事
Author
Toshio Kasamatsuほか
Publisher
Springer Nature
Publication date
2021-04-30
Material Format
Digital
Journal name
Genes and environment 43(16)
Publication Page
-
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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(Provided by: CiNii Research)

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Digital

Material Type
記事
Author/Editor
Toshio Kasamatsu
Airi Kitazawa
Sumie 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
Persistent ID (NDL)
info:ndljp/pid/11865404
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
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

Digital

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
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™
Is Referenced By
Genotoxicity assessment of food-flavoring chemicals used in Japan
In vivo and in vitro mutagenicity of perillaldehyde and cinnamaldehyde
References
Transitioning to composite bacterial mutagenicity models in ICH M7 (Q)SAR analyses
DNA breaking activity and mutagenicity of soy sauce: characterization of the active components and identification of
Mutagenic compounds in wood-chip drying fumes
Validation of the (Q)SAR combination approach for mutagenicity prediction of flavor chemicals
Unsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data Sets
Thresholds of Toxicological Concern for Genotoxic Impurities in Pharmaceuticals
It's difficult, but important, to make negative predictions
The Japan Flavour and Fragrance Materials Association’s (JFFMA) safety assessment of acetal food flavouring substances uniquely used in Japan
Comparison of the Ames II and traditional Ames test responses with respect to mutagenicity, strain specificities, need for metabolism and correlation with rodent carcinogenicity
The structural basis of the mutagenicity of chemicals in Salmonella typhimurium: The Gene-Tox Data Base
Study of artificial flavouring substances for mutagenicity in the salmonella/microsome, Basc and micronucleus tests
Improvement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project
Formation of Categories from Structure−Activity Relationships To Allow Read-Across for Risk Assessment: Toxicity of α,β-Unsaturated Carbonyl Compounds
The Ames Salmonella/microsome mutagenicity assay
Mutagenicity of cosmetics ingredients licensed by the European Communities
Evaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtained
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity
Genotoxic effects of allyl isothiocyanate (AITC) and phenethyl isothiocyanate (PEITC)
Mechanisms of Chemical Carcinogenicity and Mutagenicity: A Review with Implications for Predictive Toxicology
Screening for Ames mutagenicity of food flavor chemicals by (quantitative) structure-activity relationship
An assessment of mutagenicity of chemical substances by (quantitative) structure–activity relationship
Data Provider (Database)
国立情報学研究所 : CiNii Research
Bibliographic ID (NDL)
11865404