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The in3 project is funded by the EU's Marie Sklodowska-Curie Action - Innovative Training Network (MSCA-ITN for short) that aims to drive the synergistic development and utilisation of in vitro and in silico tools for human chemical and nanomaterial (NM) safety assessment.

December 14th and 15th 2020 virtual meeting

To communicate with us please follow the link to our slack workspace [in3 Slack].

 

 

Introduction


The bosses



The ESRS
Due to the technical incompetence of the coordinator some of these videos are split in 2 and even 3.




  • Vidya (PTL) and Leonies (lung/macrophages) videos will be uploaded after clearance.


    • The Entertainment



    Panienki featuring Thomas Morzewski

    Discussions a contemplations







    Acknowledgements



    Here are our dedicated, motivated, dynamic, intelligent, smart, early stage researchers.


    Coordinator: Prof. Dr. Paul Jennings p.jennings@vu.nl
    Training coordinator: Dr. Maxime Culot  maxime.culot@univ-artois.fr
    Project manager: Dr. Ellen Langemeijer e.v.langemeijer@vu.nl


                     


      in3 Publications

    The following are the in3 peer reviewed papers we have to date. But we have a lot more on the way and we will have a special issue soon in Toxicology in vitro.


    1.          Wellens, S., Dehouck, L., Chandrasekaran, V., Singh, P., Loiola, R.A., Sevin, E., Exner, T., Jennings, P., Gosselet, F., Culot, M.: Evaluation of a human iPSC-derived BBB model for repeated dose toxicity testing with cyclosporine A as model compound. Toxicol. Vitr. 73, (2021). https://doi.org/10.1016/j.tiv.2021.105112
    2.          Gadaleta, D., Vuković, K., Toma, C., Lavado, G.J., Karmaus, A.L., Mansouri, K., Kleinstreuer, N.C., Benfenati, E., Roncaglioni, A.: SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data. J. Cheminform. 11, (2019). https://doi.org/10.1186/s13321-019-0383-2
    3.          Rauch, C., Feifel, E., Kern, G., Murphy, C., Meier, F., Parson, W., Beilmann, M., Jennings, P., Gstraunthaler, G., Wilmes, A.: Differentiation of human iPSCs into functional podocytes. PLoS One. 13, (2018). https://doi.org/10.1371/journal.pone.0203869
    4.          Spinu, N., Bal-Price, A., Cronin, M.T.D., Enoch, S.J., Madden, J.C., Worth, A.P.: Development and analysis of an adverse outcome pathway network for human neurotoxicity. Arch. Toxicol. 93, 2759–2772 (2019). https://doi.org/10.1007/s00204-019-02551-1
    5.          Lagares, L.M., Minovski, N., Alfonso, A.Y.C., Benfenati, E., Wellens, S., Culot, M., Gosselet, F., Novič, M.: Homology modeling of the human p-glycoprotein (Abcb1) and insights into ligand binding through molecular docking studies. Int. J. Mol. Sci. 21, 1–37 (2020). https://doi.org/10.3390/ijms21114058
    6.          Lagares, L.M., Minovski, N., Novič, M.: Multiclass classifier for P-glycoprotein substrates, inhibitors, and non-active compounds. Molecules. 24, (2019). https://doi.org/10.3390/molecules24102006
    7.          Proença, S., Escher, B.I., Fischer, F.C., Fisher, C., Grégoire, S., Hewitt, N.J., Nicol, B., Paini, A., Kramer, N.I.: Effective exposure of chemicals in in vitro cell systems: A review of chemical distribution models. Toxicol. Vitr. 105133 (2021). https://doi.org/10.1016/j.tiv.2021.105133
    8.          Spinu, N., Cronin, M.T.D., Enoch, S.J., Madden, J.C., Worth, A.P.: Quantitative adverse outcome pathway (qAOP) models for toxicity prediction, (2020)
    9.          Vukovic, K., Gadaleta, D., Benfenati, E.: Methodology of AiQSAr: A group-specific approach to QSAR modelling. J. Cheminform. 11, (2019). https://doi.org/10.1186/s13321-019-0350-y
    10.        Caballero-Alfonso, A.Y., Cruz-Monteagudo, M., Tejera, E., Benfenati, E., Borges, F., Cordeiro, M.N.D.S., Armijos-Jaramillo, V., Perez-Castillo, Y.: Ensemble-Based Modeling of Chemical Compounds with Antimalarial Activity. Curr. Top. Med. Chem. 19, 957–969 (2019). https://doi.org/10.2174/1568026619666190510100313
    11.        Spinu, N., Cronin, M.T.D., Enoch, S.J., Madden, J.C., Worth, A.P.: Quantitative adverse outcome pathway (qAOP) models for toxicity prediction, (2020)
    12.        Chayawan, C., Toma, C., Benfenati, E., Caballero Alfonso, A.Y.: Towards an understanding of the mode of action of human aromatase activity for azoles through quantum chemical descriptors-based regression and structure activity relationship modeling analysis. Molecules. 25, (2020). https://doi.org/10.3390/molecules25030739
    13.        Rauch, C., Feifel, E., Kern, G., Murphy, C., Meier, F., Parson, W., Beilmann, M., Jennings, P., Gstraunthaler, G., Wilmes, A.: Differentiation of human iPSCs into functional podocytes. PLoS One. 13, (2018). https://doi.org/10.1371/journal.pone.0203869
    14.        Spinu, N., Bal-Price, A., Cronin, M.T.D., Enoch, S.J., Madden, J.C., Worth, A.P.: Development and analysis of an adverse outcome pathway network for human neurotoxicity. Arch. Toxicol. 93, 2759–2772 (2019). https://doi.org/10.1007/s00204-019-02551-1
    15.        Lagares, L.M., Minovski, N., Alfonso, A.Y.C., Benfenati, E., Wellens, S., Culot, M., Gosselet, F., Novič, M.: Homology modeling of the human p-glycoprotein (Abcb1) and insights into ligand binding through molecular docking studies. Int. J. Mol. Sci. 21, 1–37 (2020). https://doi.org/10.3390/ijms21114058


      in3 dissemination and training

    See our very active twitter feed for dissemination actions . Below are a few higlights.
    in3 is funded by the Marie Sklodowska-Curie Action - Innovative Training Network under grant no. 721975.