Computational Analysis of Signal Peptide-dependent Secreted Protein in Cryptosporidium parvum
Proteins secreted by Cryptosporidium parvum are usually targets of immune responses in the infected host. Here we describe a search for secreted proteins that combined the use of bioinformatics. The 8,114 proteins deduced from the Cryptosporidium parvum genome were analyzed with several computer programs, such as the combination of prediction algorithms SignalP v3.0 and iPSORT, transmembrane domains prediction algorithms TMHMM v2.0, potential GPI-anchor sites prediction algorithm big-PI predictor and the subcellular protein location prediction algorithm TargetP v1. 1. We identified 421 proteins carrying an NH2-terminal secretory signal peptide. Of these 421 proteins only 41 had been previously reported to be secreted proteins. Among the 421 secreted proteins, 157 were provided with function description involved in kinds of enzyme, cell energy, transmition, cell recovered itself and defense mechanism et al. These findings demonstrate that the systematic computer search described in this work identified secreted proteins of C.parvum with high efficiency.
signal peptide Cryptosporidium parvum bioinformation
Kai Zhou Hongxuan He Yanyun Wu Chengmin Wang Mingxing Duan
National Research Center for Wildlife Animal Disease, Institute of Zoology, Chinese Academy of Scien State Key Laboratory of Biomembrane and Membrane Biotechnology, Department of Biological Science and
国际会议
The 5th International Forum on Post-genome Technologies(5IFPT)(第五届国际后基因组生命科学技术学术论坛)
苏州
英文
2007-09-10（万方平台首次上网日期，不代表论文的发表时间）