PIE: an online prediction system for protein-protein interactions from text

被引：38

作者：

Kim, Sun ^{[1
]}

Shin, Soo-Yong ^{[2
]}

Lee, In-Hee ^{[1
]}

Kim, Soo-Jin

Sriram, Ram ^{[2
]}

Zhang, Byoung-Tak ^{[1
,3
]}

机构：

[1] Seoul Natl Univ, Biointelligence Lab, Sch Comp Sci & Engn, Seoul 151744, South Korea

[2] NIST, Mfg Syst Integrat Div, Gaithersburg, MD 20899 USA

[3] Seoul Natl Univ, Ctr Bioinformat Technol, Grad Program Bioinformat, Seoul 151742, South Korea

来源：

NUCLEIC ACIDS RESEARCH | 2008年 / 36卷

基金：

新加坡国家研究基金会;

关键词：

D O I：

10.1093/nar/gkn281

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Protein-protein interaction (PPI) extraction has been an important research topic in bio-text mining area, since the PPI information is critical for understanding biological processes. However, there are very few open systems available on the Web and most of the systems focus on keyword searching based on predefined PPIs. PIE ( Protein Interaction information Extraction system) is a configurable Web service to extract PPIs from literature, including user-provided papers as well as PubMed articles. After providing abstracts or papers, the prediction results are displayed in an easily readable form with essential, yet compact features. The PIE interface supports more features such as PDF file extraction, PubMed search tool and network communication, which are useful for biologists and bio-system developers. The PIE system utilizes natural language processing techniques and machine learning methodologies to predict PPI sentences, which results in high precision performance for Web users. PIE is freely available at http://bi.snu.ac.kr/pie/.

引用

页码：W411 / W415

页数：5

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