Topological analysis and prediction of aging genes in yeast
An important task of aging research is to find genes that regulate lifespan. Wet-lab identification of aging genes is tedious and labor-intensive activity. Developing an algorithm to predict aging genes will be greatly helpful. In this paper, we systematically analyzed topological features of proteins encoded by yeast aging genes versus those encoded by non-aging genes in protein-protein interaction (PPI) network and found that they are characterized by several network topological features such as higher in degrees. Based on these features, an algorithm was developed to detect aging genes genome wide. With precision as high as 0.67, 57 novel aging genes were predicted. Evidence supporting our prediction can be found.
aging genes algorithm prediction
Yan-Hui Li Gai-Gai Zhang Zheng Guo
School of Life Science and Bioinformatics Centre University of Electronic Science and Technology of Special Medical Ward (Geratology Department) First Hospital of Tsinghua University Beijing,100016,P.
国际会议
The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)
南京
英文
1533-1538
2011-06-01（万方平台首次上网日期，不代表论文的发表时间）