学术报告
报告题目：Mining GPI-anchored Proteins from Proteomic data
报 告 人：曹巍， 东京大学农学生命科学研究科研究员
时 间：2015年6月12日(星期五)上午10:00
地 点：数学楼第二报告厅
摘 要： Glycosylphosphatidylinositol (GPI) lipid modification is an important protein post-translational modification found in many organisms, and GPI-anchoring is confined to the C-terminus of the target protein. We built up a novel computational protocol for identifying GPI-anchored proteins, which is more accurate than previously proposed protocols;it uses an optimized support vector machine (SVM) classifier to recognize the C-terminal sequence pattern and a voting system based on SignalP version 3.0 to determine the presence or absence of the N-terminal signal of a typical GPI-anchored protein. Fourteen of 15 proteins in our sensitivity test dataset and 19 of the 20 proteins experimentally identified by Hamada et al. that were not included in the training dataset were identified correctly. This suggests that our protocol is considerably effective on unseen data. A proteome-wide survey applying the protocol to S. cerevisiae identified 88 proteins as putative GPI-anchored proteins. Applying our system to protein sequences of three Aspergilli, we identified 115 GPI-anchored proteins in Aspergillus fumigatus, 129 in Aspergillus nidulans, and 136 in Aspergillus oryzae. Sequence-based conserved domain search found nearly half of these proteins to have conserved domains that covered a wide range of functions.
简历：曹巍，东京大学农学生命科学研究科研究员。曹巍研究员于2001年赴日本东京大学留学，2004年获得硕士学位，2007年获得博士学位。2007年起至今在东京大学农学生命科学研究科任研究员。主要从事于生物信息学和蛋白质结构优化及分析的研究。
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统计研究院
2015年6月11日