Factsheet
Acronym
NOTOX
Full Title
Predicting long-term toxic effects using computer models based on systems characterization of organotypic cultures
Programme
FP7/Large-Scale Collaborative Project
Contract Number
267038
Abstract
The major aim of the NOTOX consortium is to develop and validate predictive mathematical and bioinformatic models characterizing long term toxicity responses. NOTOX will develop and establish a spectrum of systems biological tools including experimental and computational methods for organotypic human cell cultures suitable for long term toxicity testing and the identification and analysis of pathways of toxicological relevance. Data obtained in the course of the project will be organised in a toxicological database and/or incorporated into large-scale computer models that are based on material balancing and kinetics. Various “-omics” data and 3D structural information from organotypic cultures will be integrated using correlative bioinformatic tools. These data also serve as a basis for large scale mathematical models. The overall objective is to identify cellular and molecular signatures allowing prediction of long term toxicity, to design experimental systems for the identification of predictive endpoints and to integrate these into causal computer models.
Duration
60 months (01/01/2011 – 31/12/2015)
Project Funding
9,699,962.00 €
Coordinator
Saarland University
Biochemical Engineering
Prof. Elmar Heinzle
Phone: +49 681 302 2905
Email
Partners
- Universität des Saarlandes, Germany
Prof. Elmar Heinzle, Dr. Fozia Noor, Prof. Jörn Walter - Centre National de la Recherche Scientifique (CNRS), France
Prof. Alain van Dorsselaer - Stichting Het Nederlands Kanker Instituut – Antoni Van Leeuwenhoek Ziekenhuis, The Netherlands
Prof. Peter J. Peters (2011 - 2014) - Karolinska Institutet, Sweden
Prof. Magnus Ingelman-Sundberg - Insilico Biotechnology AG, Germany
Klaus Mauch - Institut National de Recherche en Informatique et en Automatique (INRIA), France
Dr. habil. Dirk Drasdo - Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), Germany
Prof. Philipp Slusallek - Leibniz Forschungsgesellschaft für Arbeitsphysiologie und Arbeitsschutz e.V. (IFADO), Germany
Prof. Jan Hengstler - Biopredic International SARL, France
Dr. Christoph Chesné - Weizmann Institute of Science, Israel
Dr. Amos Tanay - Cambridge Cell Networks Ltd., United Kingdom
Dr. Gordana Apic - European Research and Project Office GmbH (Eurice), Germany
Dr. Claudia Schacht, Dr. Verena Peuser - Universiteit Maastricht, The Netherlands
Prof. Peter J. Peters (2014 - 2015)