The PTE Challenge

Ashwin Srinivasan (ashwin@comlab.ox.ac.uk)
Mon, 22 Dec 1997 18:01:57 +0100 (MET)

*** The Predictive Toxicology Evaluation Challenge ***

Can an AI program contribute to true scientific discovery? An
area where this gauntlet has been thrown is that of understanding
the mechanisms of chemical carcinogenesis.

The U.S. National Institute of Environmental Health Sciences
(NIEHS) has carried out a large number of rodent carcinogenicity
tests. This has resulted in a large database of compounds clas-
sified to be either carcinogens or non-carcinogens. The
Predictive-Toxicology Evaluation project of the NIEHS provides an
objective way to compare carcinogenicity prediction methods.

The problem of predicting carcinogens presents a formidable chal-
lenge to knowledge discovery programs. Important features of
this problem are:

* involvement in true scientific discovery;
* strong competition from methods used by chemists;
* participation in objective blind-trials; and
* independent evaluation of results by an expert chemist.

This problem has been accepted as an IJCAI-97 Challenge Paper.
Details of the PTE Challenge, and on how to enter your submis-
sions are available at:

http://www.comlab.ox.ac.uk/oucl/groups/machlearn/PTE

Ashwin Srinivasan
ashwin@comlab.ox.ac.uk

Ross King
rdk@cs.aber.ac.uk