EFSA’s OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments-Reference-Cited by-同舟云学术

EFSA’s OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments

Published:2021-01 Issue: Volume:146 Page:106293
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Dorne J.L.C.M.,Richardson J.^ORCID,Livaniou A.,Carnesecchi E.^ORCID,Ceriani L.,Baldin R.^ORCID,Kovarich S.^ORCID,Pavan M.^ORCID,Saouter E.,Biganzoli F.,Pasinato L.,Zare Jeddi M.,Robinson T.P.,Kass G.E.N.^ORCID,Liem A.K.D.,Toropov A.A.,Toropova A.P.,Yang C.,Tarkhov A.,Georgiadis N.,Di Nicola M.R.,Mostrag A.,Verhagen H.^ORCID,Roncaglioni A.^ORCID,Benfenati E.,Bassan A.^ORCID

Funder

European Food Safety Authority

Publisher

Elsevier BV

Subject

General Environmental Science

Reference44 articles.

1. Benfenati, E., Como F., Marzo, M., Gadaleta, D., Toropov, A., Toropova, A., 2017. Developing innovative in silico models with EFSA’s OpenFoodTox database. EFSA supporting publication 2017:EN-1206. 19 pp. doi:10.2903/sp.efsa.2017.EN-1206.

2. Integrating in silico models and read-across methods for predicting toxiciy of chemicals: A step-wise strategy;Benfenati;Environ. Int.,2019

3. Benfenati, Emilio, Carnesecchi, Edoardo, Roncaglioni, Alessandra, Baldin, Rossella, Ceriani, Lidia, Ciacci, Andrea, Kovarich, Simona, Sartori, Luca, Mostrag, Aleksandra, Magdziarz, Tomasz, Yang, Chihae, 2020. Maintenance, update and futher development of EFSA’s Chemical Hazards: OpenFoodTox 2.0. EFSA supporting publication 2020:EN-1822. EFSA supporting publication 2020: EN-1822. 36 pp. doi:10.2903/sp.efsa.2020.EN-1822.

4. Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation;Carnesecchi;Sci. Total Environ.,2020

5. Predicting acute contact toxicity of organic binary mixtures in honey bees (A. mellifera) through innovative QSAR models;Carnesecchi;Sci. Total Environ.,2020

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