Use of Microarray Test Data for Toxicogenomic Prediction-Multi-Intelligent Systems for Toxicogenomic Applications (MISTA)

Wasson, J.S. ; Lu, P.-Y.

Oak Ridge National Laboratory

关键词: Forecasting;    Drugs;    Ornl;    Toxicity;    54 Environmental Sciences;   

DOI  :  10.2172/944563
RP-ID  :  ORNL04-0688
RP-ID  :  DE-AC05-00OR22725
RP-ID  :  944563

美国|英语

来源: UNT Digital Library

【 摘 要 】

The YAHSGS LLC and Oak Ridge National Laboratory established a CRADA to develop a computational neural network and wavelets software to facilitate providing national needs for toxicity prediction and overcome the voracious drain of resources (money and time) being directed to the development of pharmaceutical agents. The research project was supported through a STTR Phase I task by NIEHS in 2004. The research deploys state-of-the-art computational neural networks and wavelets to make toxicity prediction on three independent bases: (1) quantitative structure-activity relationships, (2) microarray data, and (3) Massively Parallel Signature Sequencing technology. Upon completion of Phase I, a prototype software Multi-Intelligent System for Toxicogenomic and Applications (MISTA) was developed, the utility's feasibility was demonstrated, and a Phase II proposal was jointly prepared and submitted to NIEHS for funding evaluation. The goals and objectives of the program have been achieved.