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Bioinformatics Vol. 17 no. 1 2001
Pages 107-108
© 2001 Oxford University Press

Applications Note

The Predictive Toxicology Challenge 2000–2001

C. Helma 1,*, R. D. King 2, S. Kramer 1 and A. Srinivasan 3

1 Machine Learning Lab, University Freiburg, D-79110 Freiburg, Germany
2 Department of Computer Science, University of Wales, Aberystwyth SY23 3DB, UK
3 Oxford University Computing Laboratory, Oxford OX1 3QD, UK

Received on September 7, 2000

Summary: We initiated the Predictive Toxicology Challenge (PTC) to stimulate the development of advanced SAR techniques for predictive toxicology models. The goal of this challenge is to predict the rodent carcinogenicity of new compounds based on the experimental results of the US National Toxicology Program (NTP). Submissions will be evaluated on quantitative and qualitative scales to select the most predictive models and those with the highest toxicological relevance.

Availability: http://www.informatik.uni-freiburg.de/~ml/ptc/

Contact: helma{at}informatik.uni-freiburg.de

* To whom correspondence should be addressed.


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