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Imprint
Development and Validation of an Inductive Database for the Prediction of Carcinogenic Effects of Chemicals
Project
Project code: BfR-ZEBET-02-1328-179
Contract period: 01.11.2004
- 31.10.2005
Purpose of research: Applied research
The goal of the present project is the development, implementation and validation of a computer program for the prediction of carcinogenic effects. The implementation and validation of this system will be performed in accordance with the requirements of the OECD Principles for (Q)SAR Validation (formerly Setubal principles), to enable an application in a regulatory context (e.g. in connection with the REACG proposal and the 7th amendment of the cosmetics guideline (EU guidelines 2003/15/EG).; ; This project relies scientifically on the concept of Inductive Databases. With Inductive Databases it is possible to search not only for data, but also for patterns within the data or even, as in our case, for predictions of biological activities. To solve such queries the lazar algorithm searches in a database with tested compounds for compounds with similar structures an derives a prediction from their activities. The new aspect of lazar is, that chemical similarities are always determindes in
Section overview
Subjects
- Physiology of Nutrition
Framework programme
Funding programme
Excutive institution
BfR - Centre for Documentation and Evaluation of Alternatives to Animal Experiments (BfR - ZEBET)
