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OpenTox - An Open Source Predictive Toxicology Framework

Project information

Grant agreement ID: 200787

Status

Closed project

  • Start date

    1 September 2008

  • End date

    31 August 2011

Funded under:

FP7-HEALTH

  • Overall budget:

    € 3 775 680

  • EU contribution

    € 2 975 360

Coordinated by:

DOUGLAS CONNECT

Switzerland

Objective

The goal of the OpenTox project is to develop a predictive toxicology framework with a unified access to toxicological data, (Q)SAR models and supporting information. It will provide tools for the integration of data from various sources (public and confidential), for the generation and validation of (Q)SAR models, libraries for the development and integration of new (Q)SAR algorithms, and validation routines. OpenTox will attract toxicological experts without (Q)SAR expertise as well as model and algorithm developers. It will move beyond existing attempts to solve individual research issues, by providing a flexible and user friendly framework that integrates existing solutions and new developments. OpenTox will be relevant for REACH as it gives risk assessors simple access to experimental data, (Q)SAR models and toxicological information that adheres to European and international regulatory requirements. OpenTox will be published as an open source project to allow a critical evaluation of its algorithms, to promote dissemination, and to attract external developers. Facilities for the inclusion of confidential in-house data and for accessing commercial prediction systems will be included. OpenTox will contain high-quality data and (Q)SAR models for chronic, genotoxic and carcinogenic effects. These are the endpoints with the greatest potential to reduce animal testing. The impact of OpenTox will however go beyond REACH and long-term effects, because it will be straightforward to create models for other endpoints (e.g,. sensitisation, liver-toxicity, cardio-toxicity, ecotoxicity). The proposed framework will support the development of new (Q)SAR models and algorithms by automating routine tasks, providing a testing and validation environment and allowing the easy addition of new data. For this reason we expect, that OpenTox will lead to (Q)SAR models for further toxic endpoints and generally improve the acceptance and reliability of (Q)SAR models.

Coordinator

DOUGLAS CONNECT

Address

Baermeggenweg
4314 Zeiningen

Switzerland

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 670 400

Administrative Contact

Nicki Douglas (Ms.)

Participants (10)

HELMA CHRISTOPH

Germany

EU Contribution

€ 320 640

IDEACONSULT LIMITED LIABILITY COMPANY

Bulgaria

EU Contribution

€ 224 640

ISTITUTO SUPERIORE DI SANITA

Italy

EU Contribution

€ 136 800

TECHNISCHE UNIVERSITAET MUENCHEN

Germany

EU Contribution

€ 457 440

ALBERT-LUDWIGS-UNIVERSITAET FREIBURG

Germany

EU Contribution

€ 510 720

NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA

Greece

EU Contribution

€ 228 000

DAVID ANTHONY GALLAGHER

United Kingdom

EU Contribution

€ 88 800

INSTITUTE OF BIOMEDICAL CHEMISTRY - RUSSIAN ACADEMY OF SCIENCES

Russia

EU Contribution

€ 186 000

SEASCAPE LEARNING CO PRIVATE LTD

India

EU Contribution

€ 54 720

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 97 200

Project information

Grant agreement ID: 200787

Status

Closed project

  • Start date

    1 September 2008

  • End date

    31 August 2011

Funded under:

FP7-HEALTH

  • Overall budget:

    € 3 775 680

  • EU contribution

    € 2 975 360

Coordinated by:

DOUGLAS CONNECT

Switzerland