2012

Peer-reviewed articles

  1. Beaudouin R, Ginot V, Monod G. Improving mesocosm data analysis through individual-based modelling of control population dynamics: a case study with mosquitofish (Gambusia holbrooki). Ecotoxicology, 21, 155-164.

  2. Mombelli E. Evaluation of the OECD (Q)SAR Application Toolbox for the profiling of estrogen receptor binding affinities. SAR and QSAR in Environmental Research, 23, 37-57.

  3. Audebert M, Zeman F, Beaudouin R, Péry A, Cravedi JP. Comparative potency approach based on H2AX assay for estimating the genotoxicity of polycyclic aromatic hydrocarbons. Toxicology and Applied Pharmacology 260, 58-64.

  4. Prot JM, Bunescu A, Elena-Herrmann B, Aninat C, Snouber LC, Griscom L, Razan F, Bois FY, Legallais C, Brochot C, Corlu A, Dumas ME, Leclerc E. Predictive toxicology using systemic biology and liver microfluidic "on chip" approaches: Application to acetaminophen injury. Toxicology and Applied Pharmacology 259, 270-280.

  5. Shintu L, Baudoin R, Navratil V, Prot JM, Pontoizeau C, Defernez M, Blaise BJ, Domange C, Péry ARR, Toulhoat P, Legallais C, Brochot C, Leclerc E, Dumas ME. Metabolomics-on-a-Chip and Predictive Systems Toxicology in Microfluidic Bioartificial Organs. Analytical Chemistry 84, 1840-1848.

  6. Cheng S, Prot JM, Leclerc E, Bois FY. Zonation related function and ubiquitination regulation in human hepatocellular carcinoma cells in dynamic vs. static culture conditions. BMC Genomics 13:54.

  7. Beaudouin R, Dias V, Bonzom JM, Péry A. Individual-based model of Chironomus riparius population dynamics over several generations to explore adaptation following exposure to uranium-spiked sediments. Ecotoxicology 21, 1225-1239.

  8. Ouattara DA, Prot JM, Bunescu A, Dumas ME, Elena-Herrmann B, Leclerc E, Brochot C. Metabolomics-on-a-chip and metabolic flux analysis for label-free modeling of the internal metabolism of HepG2/C3A cells. Mol. BioSyst. 8, 1908–1920.

  9. Beaudouin R, Zeman FA, Péry ARR. Individual sensitivity distribution evaluation from survival data using a mechanistic model : Implications for ecotoxicological risk assessment. Chemosphere 89, 83-88.

  10. Ulaszewska MM, Ciffroy P, Tahraoui F, Zeman FA, Capri E, Brochot C. Interpreting PCB levels in breast milk using a physiologically based pharmacokinetic model to reconstruct the dynamic exposure of Italian women. J. Expo. Sci. Environ. Epidemiol. 22, 601-609.

  11. Tebby C, Mombelli E. A Kernel-Based Method for Assessing Uncertainty on Individual QSAR Predictions. Mol. Inform. 31, 741-751.

Others

  1. Anzali S, Berthold MR, Fioravanzo E, Neagu D, Péry ARR, Worth AP, Yang C, Cronin MTD, Richarz A-N. Development of computational models for the risk assessment of cosmetic ingredients. IFSCC Magazine 15 (4): 249-255

Book chapters

  1. Dorne JL, Amzal P, Bois F, Crepet A, Tressou J, Verger P. Population effects and variability, in Computational Toxicology, Reisfeld B., Mayeno A.N. Eds., Methods in Molecular Biology Series, Humana Press, New-York. 929, 521-581.

  2. Bois FY. Bayesian inference, in Computational Toxicology, Reisfeld B., Mayeno A.N. Eds., Methods in Molecular Biology Series, Humana Press, New-York. 930, 597-636.

  3. Bois F, Jamei M. Population-based pharmacokinetic modeling and simulation, in Encyclopedia of Drug Metabolism and Interactions, Lyubimov A.V., Ed., John Wiley & sons, Hoboken, vol. XI, p. 1-27.