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学科主题: 医学信息学
题名:
Recent progress in predicting protein sub-subcellular locations
作者: Du, Pufeng1,2,3; Li, Tingting4; Wang, Xin1
关键词: in silico ; subcellular location ; subchloroplast ; submitochondrial ; subnuclear
刊名: EXPERT REVIEW OF PROTEOMICS
发表日期: 2011-06-01
DOI: 10.1586/EPR.11.20
卷: 8, 期:3, 页:391-404
收录类别: SCI
文章类型: Review
WOS标题词: Science & Technology
类目[WOS]: Biochemical Research Methods
研究领域[WOS]: Biochemistry & Molecular Biology
关键词[WOS]: AMINO-ACID-COMPOSITION ; SUPPORT VECTOR MACHINE ; STRUCTURAL CLASS PREDICTION ; ENZYME SUBFAMILY CLASSES ; IMPROVED HYBRID APPROACH ; GENE ONTOLOGY TERMS ; SUBNUCLEAR LOCALIZATION ; MULTIPLE SITES ; SUBMITOCHONDRIA LOCATIONS ; ENSEMBLE CLASSIFIER
英文摘要:

In the last two decades, the number of the known protein sequences increased very rapidly. However, a knowledge of protein function only exists for a small portion of these sequences. Since the experimental approaches for determining protein functions are costly and time consuming, in silico methods have been introduced to bridge the gap between knowledge of protein sequences and their functions. Knowing the subcellular location of a protein is considered to be a critical step in understanding its biological functions. Many efforts have been undertaken to predict the protein subcellular locations in silico. With the accumulation of available data, the substructures of some subcellular organelles, such as the cell nucleus, mitochondria and chloroplasts, have been taken into consideration by several studies in recent years. These studies create a new research topic, namely ′protein sub-subcellular location prediction′, which goes one level deeper than classic protein subcellular location prediction.

语种: 英语
所属项目编号: 61005041 ; 60905014 ; 20100032120039 ; 60302006 ; 60302010
项目资助者: National Science Foundation of China (NSFC) ; PhD Programs Foundation of Ministry of Education of China ; Seed Foundation of Tianjin University
WOS记录号: WOS:000292424600015
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/63868
Appears in Collections:基础医学院_医学信息学系_期刊论文

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作者单位: 1.Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300072, Peoples R China
2.Tsinghua Univ, TNLIST Dept Automat, MOE Key Lab Bioinformat, Beijing 100084, Peoples R China
3.Tsinghua Univ, TNLIST Dept Automat, Bioinformat Div, Beijing 100084, Peoples R China
4.Peking Univ, Hlth Sci Ctr, Dept Biomed Informat, Beijing 100191, Peoples R China

Recommended Citation:
Du, Pufeng,Li, Tingting,Wang, Xin. Recent progress in predicting protein sub-subcellular locations[J]. EXPERT REVIEW OF PROTEOMICS,2011,8(3):391-404.
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