Title :
A computational framework for predicting drug Mode-of-Action
Author :
Ma, Chifeng ; Chen, He Henry ; Huang, Yufei ; Chen, Yidong
Author_Institution :
Dept. of ECE, Univ. of Texas at San Antonio, San Antonio, TX, USA
Abstract :
The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.
Keywords :
drugs; medical computing; patient treatment; MoA; cMap prediction; computational drug screening; connectivity map; drug mode-of-actions; drug treatment; microarray profile; Drug Activity Prediction; Gene Set Selection; MoANet; Mode of Action;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location :
Hong, Kong
Print_ISBN :
978-1-4244-8303-7
Electronic_ISBN :
978-1-4244-8304-4
DOI :
10.1109/BIBMW.2010.5703831