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PIE: an online prediction system for protein–protein interactions from text
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 ba...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447724/ https://www.ncbi.nlm.nih.gov/pubmed/18508809 http://dx.doi.org/10.1093/nar/gkn281 |
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author | Kim, Sun Shin, Soo-Yong Lee, In-Hee Kim, Soo-Jin Sriram, Ram Zhang, Byoung-Tak |
author_facet | Kim, Sun Shin, Soo-Yong Lee, In-Hee Kim, Soo-Jin Sriram, Ram Zhang, Byoung-Tak |
author_sort | Kim, Sun |
collection | PubMed |
description | 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/. |
format | Text |
id | pubmed-2447724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-24477242008-07-09 PIE: an online prediction system for protein–protein interactions from text Kim, Sun Shin, Soo-Yong Lee, In-Hee Kim, Soo-Jin Sriram, Ram Zhang, Byoung-Tak Nucleic Acids Res Articles 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/. Oxford University Press 2008-07-01 2008-05-28 /pmc/articles/PMC2447724/ /pubmed/18508809 http://dx.doi.org/10.1093/nar/gkn281 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Kim, Sun Shin, Soo-Yong Lee, In-Hee Kim, Soo-Jin Sriram, Ram Zhang, Byoung-Tak PIE: an online prediction system for protein–protein interactions from text |
title | PIE: an online prediction system for protein–protein interactions from text |
title_full | PIE: an online prediction system for protein–protein interactions from text |
title_fullStr | PIE: an online prediction system for protein–protein interactions from text |
title_full_unstemmed | PIE: an online prediction system for protein–protein interactions from text |
title_short | PIE: an online prediction system for protein–protein interactions from text |
title_sort | pie: an online prediction system for protein–protein interactions from text |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447724/ https://www.ncbi.nlm.nih.gov/pubmed/18508809 http://dx.doi.org/10.1093/nar/gkn281 |
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