Objective
The eTOX consortium proposes to develop innovative methodological strategies and novel software tools to better predict the toxicological profiles of new molecular entities in early stages of the drug development pipeline. This will be achieved by coordinating the efforts of specialists from academia and SMEs in the wide scope of disciplines that are required to move towards a more reliable modelling of the complex relationships existing
between molecular and in vitro information and the in vivo toxicity outcomes of drugs. The proposed strategy includes a synergetic integration of innovative approaches in the following areas:
Database building and management, including masking procedures for sensitive data, with the aim of facilitating the sharing of information among pharmaceutical companies.
• Ontologies and text mining techniques, with the purpose of facilitating knowledge extraction from legacy preclinical reports and biomedical literature.
• Chemistry and structure-based approaches for the molecular description of the compounds considered, as well as of the biological anti-targets responsible for the secondary pharmacologies.
• Prediction of absorption and metabolism since these ADME properties are often critically related to toxicological events.
• Computational genomics to afford the inter-species and inter-individual variabilities that complicate the interpretation of experimental and clinical outcomes.
• Systems biology approaches in order to cope with the complex biological mechanisms which govern in vivo safety problems.
• Sophisticated statistical analysis tools required to derive the inevitably highly-multivariate QSAR models.
• Development and validation (according to the OECD principles) of QSARs, integrative models, expert systems and meta-tools.
• Linkage of toxicity preclinical data with human outcomes
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence expert systems
- medical and health sciences basic medicine toxicology
- natural sciences computer and information sciences data science data processing
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
IMI-JU-01-2008
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
JTI-CP-IMI - Joint Technology Initiatives - Collaborative Project (IMI)
Coordinator
4056 Basel
Switzerland
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Participants (29)
08003 Barcelona
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28029 Madrid
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69117 Heidelberg
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L3 5UX Liverpool
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2800 Kongens Lyngby
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1010 WIEN
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1081 HV Amsterdam
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2344 Maria Enzersdorf
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LS11 5PS Leeds
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90411 Nurnberg
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08028 BARCELONA
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08173 Sant Cugat del Vallès
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151 85 Sodertaelje
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13353 Berlin
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55218 Ingelheim
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08038 Barcelona
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WC1A 1DG LONDON
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2340 Beerse
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2500 Valby
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CT13 9NJ Sandwich
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4070 Basel
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1070 Bruxelles / Brussel
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65929 FRANKFURT AM MAIN
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91190 GIF-SUR-YVETTE
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28006 MADRID
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80686 MUNCHEN
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3015 GD Rotterdam
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LE1 7RH Leicester
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46022 Valencia
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