Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Josep Cester"'
Autor:
Emilio Benfenati, Alberto Manganaro, Giuseppina Gini, T. Borges, E. Casimiro, Maria I. Petoumenou, Alberto Fernández, Josep Cester, P. Paris, Giuseppa Raitano, M. Belli, M. Paparella, M. Kinzl, Ralf Knauf, Enrico Mombelli, Masamitsu Honma
Publikováno v:
SAR and QSAR in Environmental Research
SAR and QSAR in Environmental Research, Taylor & Francis, 2016, 27 (5), pp.371-384. ⟨10.1080/1062936X.2016.1178171⟩
SAR and QSAR in Environmental Research, Taylor & Francis, 2016, 27 (5), pp.371-384. ⟨10.1080/1062936X.2016.1178171⟩
A round-robin exercise was conducted within the CALEIDOS LIFE project. The participants were invited to assess the hazard posed by a substance, applying in silico methods and read-across approaches. The exercise was based on three endpoints: mutageni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdee14a26911875f85f25ba85e522a43
https://hal-ineris.archives-ouvertes.fr/ineris-01854129
https://hal-ineris.archives-ouvertes.fr/ineris-01854129
Publikováno v:
Environmental research. 143
The partition coefficient (log P) is a physicochemical parameter widely used in environmental and health sciences and is important in REACH and CLP regulations. In this regulatory context, the number of existing experimental data on log P is negligib
Publikováno v:
Environmental research. 142
The bioconcentration factor (BCF) is the ratio of the concentration of a chemical in an organism to the concentration in the surrounding environment at steady state. It is a valuable indicator of the bioaccumulation potential of a substance. BCF is a
Autor:
Antonio Cassano, Alessandra Roncaglioni, Giuseppa Raitano, Enrico Mombelli, Josep Cester, Alberto Fernández, Emilio Benfenati
Publikováno v:
Journal Of Environmental Science And Health Part C-Environmental Carcinogenesis & Ecotoxicology Reviews
Repositori Institucional de la Universitat Rovira i Virgili
Consejo Superior de Investigaciones Científicas (CSIC)
Repositori Institucional de la Universitat Rovira i Virgili
Consejo Superior de Investigaciones Científicas (CSIC)
10.1080/10590501.2014.938955 We evaluated the performance of seven freely available quantitative structure-activity relationship models predicting Ames genotoxicity thanks to a dataset of chemicals that were registered under the EU Registration, Eval
Publikováno v:
Artificial Intelligence and Applications / 718: Modelling, Identification, and Control.