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Machine learning - based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees

Journal of Hazardous Materials
2023-10 | Journal article
DOI: 10.1016/j.jhazmat.2023.132358
Contributors: Mainak Chatterjee; Arkaprava Banerjee; Simone Tosi; Edoardo Carnesecchi; Emilio Benfenati; Kunal Roy
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OECD harmonised template 201: Structuring and reporting mechanistic information to foster the integration of new approach methodologies for hazard and risk assessment of chemicals

Regulatory Toxicology and Pharmacology
2023-08 | Journal article
DOI: 10.1016/j.yrtph.2023.105426
Contributors: Edoardo Carnesecchi; Ingrid Langezaal; Patience Browne; Sofia Batista-Leite; Ivana Campia; Sandra Coecke; Bertrand Dagallier; Pierre Deceuninck; Jean Lou CM. Dorne; Jose V. Tarazona et al.
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The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models

International Journal of Molecular Sciences
2023-06-08 | Journal article
DOI: 10.3390/ijms24129894
Contributors: Alberto Danieli; Erika Colombo; Giuseppa Raitano; Anna Lombardo; Alessandra Roncaglioni; Alberto Manganaro; Alessio Sommovigo; Edoardo Carnesecchi; Jean-Lou C. M. Dorne; Emilio Benfenati
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EFSA’s OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments

Environment International
2021-01 | Journal article
DOI: 10.1016/j.envint.2020.106293
Contributors: J.L.C.M. Dorne; J. Richardson; A. Livaniou; E. Carnesecchi; L. Ceriani; R. Baldin; S. Kovarich; M. Pavan; E. Saouter; F. Biganzoli et al.
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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

Science of The Total Environment
2020-09 | Journal article
DOI: 10.1016/j.scitotenv.2020.139243
Contributors: Edoardo Carnesecchi; Cosimo Toma; Alessandra Roncaglioni; Nynke Kramer; Emilio Benfenati; Jean Lou C.M. Dorne
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Predicting acute contact toxicity of organic binary mixtures in honey bees (A. mellifera) through innovative QSAR models

Science of The Total Environment
2019-11 | Journal article
DOI: 10.1016/j.scitotenv.2019.135302
Contributors: Edoardo Carnesecchi; Andrey A. Toropov; Alla P. Toropova; Nynke Kramer; Claus Svendsen; Jean Lou Dorne; Emilio Benfenati
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Peer review (1 review for 1 publication/grant)

Review activity for International journal of tropical insect science. (1)
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