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树鼩全基因组分泌蛋白的预测分析

罕园园 马开利

中国比较医学杂志Issue(4):33-37,5.
中国比较医学杂志Issue(4):33-37,5.DOI:10.3969/j.issn.1671.7856.2014.004.008

树鼩全基因组分泌蛋白的预测分析

A genome-wide prediction and analysis of secreted proteins of Tupaia Chinensis

罕园园 1马开利1

作者信息

  • 1. 中国医学科学院北京协和医学院医学生物学研究所药物安全性评价研究中心,云南昆明 650118
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摘要

Abstract

Objective To better understand the information of secreted proteins of Tupaia Chinensis.Methods The internet-based software EuSecPred 2.0 and other mapping software were collectively used to predict and analyze the genome-wide secreted proteins .Results There were 279 secreted proteins , accounting for 7.2% of the total proteins encoded by genome sequences .The function and structure of the domain annotation analysis found that they were mainly hydrolases , protein/ion binding proteins and the primary metabolic process-associated proteins .Amino acid composition analysis showed that the signal peptide secreted proteins were mainly composed of hydrophobic amino acids , and there existed some hydrophilic amino acids in the signal peptide cleavage site .Motif analysis revealed no presence of conserved motifs in signal peptide , however , five kinds of motifs existed inside the secreted proteins .Conclusion Genome-wide predictive analysis of secreted proteins of tree shrews is helpful for further study of the regulation of body functions in tree shrews, and for developing mechanism studies and animal models researches .

关键词

树鼩/基因组/分泌蛋白/信号肽/基序

Key words

Tree shrew/Tupaia chinensis/Genome/Genome sequences/Secreted proteins/Signal peptide

分类

医药卫生

引用本文复制引用

罕园园,马开利..树鼩全基因组分泌蛋白的预测分析[J].中国比较医学杂志,2014,(4):33-37,5.

基金项目

国家自然科学基金(81301073);高等学校博士学科点专项科研基金新教师类资助课题(20121106120056);云南省应用基础项目(2013FZ132);协和青年基金-中央高校基本科研业务费专项资金(3332013083)。 ()

中国比较医学杂志

OA北大核心CSTPCD

1671-7856

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