The Prediction of Protein-Protein Interaction Networks in Rice Blast Fungus
BackgroundProtein-protein interaction (PPI) maps are useful tools for investigating the cellular functions of genes. Thus far, large-scale Ppi mapping projects have not been implemented for the rice blast fungus Magnaporthe grisea, which is responsible for the most severe rice disease1. Inspired by recent advances in PPI prediction, we constructed a PPI map of this important fungus2.Data & MethodThe orthologs of M. Grisea proteins in E. Coli, S. Cerevisae, C. Elegans, D. Melanogaster, and H. Sapiens were identified using InParanoid with the default settings. PPI data in DIP and HPRD were used to predict PPIs in M.grisea. Three computational experiments were designed to validate the quality of our predicted PPI network. We investigated two groups of proteins specific to this pathogen and showed the global features them on a network level.
Fei He Yen Zhang Hao Chen Ziding Zhang You-Liang Peng
State Key Laboratory for ArgoBiotechnology, College of Biological Sciences, China Agricultural Unive Department of Plant Pathology, China Agricultural University, Beijing 100193, China
国际会议
The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)
北京
英文
897
2009-01-01（万方平台首次上网日期，不代表论文的发表时间）