Literature DB >> 15935536

The use of structure-activity relationship analysis in the food contact notification program.

Allan B Bailey1, Ronald Chanderbhan, Nancy Collazo-Braier, M A Cheeseman, Michelle L Twaroski.   

Abstract

Food contact substances (FCS) include polymers, paper and paperboard, and substances used in their manufacture, that do not impart a technical effect on food. Moreover, FCSs are industrial chemicals generally consumed at dietary concentrations (DC) of less than 1mg/kg food (ppm), and more commonly at less than 0.05 ppm (50 ppb), in the daily diet. As such, many industrial chemicals have been analyzed for toxicological concern, some of which may share structural similarity with FCSs or their constituents, and the majority of these studies are available in the public domain. The DCs of these compounds lend themselves to using structure-activity relationship (SAR) analysis, as the available "expert systems" and use of analogs allows for prediction and management of potential carcinogens. This paper describes the newly implemented food contact notification (FCN) program, the program by which FDA reviews FCSs for safe use, the administrative review of FCSs, the SAR tools available to FDA, and qualitative and quantitative risk assessments using SAR analysis within the regulatory framework of reviewing the safety of FCSs.

Mesh:

Year:  2005        PMID: 15935536     DOI: 10.1016/j.yrtph.2005.04.006

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  6 in total

1.  An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts.

Authors:  Thomas Ferrari; Giuseppina Gini
Journal:  Chem Cent J       Date:  2010-07-29       Impact factor: 4.215

Review 2.  From QSAR to QSIIR: searching for enhanced computational toxicology models.

Authors:  Hao Zhu
Journal:  Methods Mol Biol       Date:  2013

3.  ToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactions.

Authors:  Iurii Sushko; Elena Salmina; Vladimir A Potemkin; Gennadiy Poda; Igor V Tetko
Journal:  J Chem Inf Model       Date:  2012-08-10       Impact factor: 4.956

4.  Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction.

Authors:  Ulf Norinder; Glenn Myatt; Ernst Ahlberg
Journal:  Biomolecules       Date:  2018-08-29

5.  Bioalerts: a python library for the derivation of structural alerts from bioactivity and toxicity data sets.

Authors:  Isidro Cortes-Ciriano
Journal:  J Cheminform       Date:  2016-03-04       Impact factor: 5.514

6.  Management of pharmaceutical ICH M7 (Q)SAR predictions - The impact of model updates.

Authors:  Catrin Hasselgren; Joel Bercu; Alex Cayley; Kevin Cross; Susanne Glowienke; Naomi Kruhlak; Wolfgang Muster; John Nicolette; M Vijayaraj Reddy; Roustem Saiakhov; Krista Dobo
Journal:  Regul Toxicol Pharmacol       Date:  2020-10-13       Impact factor: 3.271

  6 in total

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