Literature DB >> 24512305

FADB: a food additive molecular database for in silico screening in food toxicology.

Tiziana Ginex1, Francesca Spyrakis, Pietro Cozzini.   

Abstract

A crucial limit to in silico preliminary toxicological evaluations in the "food safety" area is the lack of a specific, efficient and available free dataset of 3D small molecules. In this direction, we present the first version of FADB (Food Additives Data Base), a suitable and freely available food additives dataset. FADB is the 3D version of the EAFUS (Everything Added to Food in the United States) list, a sum of WHO, FAO food additive databases and could be a useful starting material in preliminary stages of toxicological assessments. Molecules in FADB are represented through several chemical and 1D identifies, physical properties and 3D (SD and Mol2 file) file formats. FADB also contains important information about functional uses of chemicals as food additives. The aim of the work is to put together substances potentially relevant to food into a "computational" library for virtual screening and docking studies with interesting scenarios for toxicology.

Entities:  

Keywords:  computational toxicology; docking; food additives; food science; virtual screening

Mesh:

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Year:  2014        PMID: 24512305     DOI: 10.1080/19440049.2014.888784

Source DB:  PubMed          Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess        ISSN: 1944-0057


  2 in total

1.  Many InChIs and quite some feat.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

2.  The Application of In Silico Methods on Umami Taste Receptor.

Authors:  Giulia Spaggiari; Francesca Cavaliere; Pietro Cozzini
Journal:  Handb Exp Pharmacol       Date:  2022
  2 in total

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