Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0
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This report provides a summary of the activities undertaken in the third year of the framework contract (OC/EFSA/SCER/2018/01) to maintain, update and further develop the OpenFoodTox database (“OpenFodTox 2.0”) (OFT 2.0). OFT has been developed to map hazards data from EFSA documents (opinions, statements, and conclusions) on risk assessment of chemicals in food and feed. It holds summary data on identification of chemicals, document descriptors, hazard identification and hazard characterisation. Within OFT 2.0, hazard data collection and entry assessed by EFSA scientific panels was performed according to the existing data model and data for 92 new substances and 139 new hazard assessments from 61 EFSA documents were added. OpenFoodTox 2.0 now includes more than 10500 assessments for over 5200 chemicals from 2250 documents. In addition, the data collection process of new data has been continued, extended and synchronised with further expansion of the data model for physicochemical properties (OHT 1 to 23‐5), toxicokinetic (TK) and metabolism data (OHT 58). Overall, new data include 3719 physicochemical datasets (139 substances, 131 EFSA outputs), 2008 PK/TK datasets (252 substances, 252 documents), metabolism data (115 studies, 39 parent substances, 121 related metabolites, 31 EFSA documents). A case study to integrate results from different OHTs for implementing the use of overarching guidance documents is proposed as a Flexible summary, together with an application using a data poor scenario. An update on the conazoles case study is reported with, an analysis of in vitro and in vivo data from OFT and an analysis of aromatase and steroidogenesis interference. Furhtermore, results on new QSAR models are presented as part of the design of an in silico integrative tool allowing description and prediction of chemical hazard properties. Finally, a means to link VEGA Hub, containing a large number of QSAR models and read‐across tools, and OFT 2.0 is proposed.