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Content archived on 2024-06-18

OpenTox - An Open Source Predictive Toxicology Framework

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.

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: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-HEALTH-2007-A
See other projects for this call

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.

CP-FP - Small or medium-scale focused research project

Coordinator

DOUGLAS CONNECT
EU contribution
€ 670 400,00
Address
Baermeggenweg 14
4314 ZEININGEN
Switzerland

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (10)

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