NDLI: PRINCESS, a protein interaction confidence evaluation system with multiple data sources.

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Year: 2008 Volume: 7 Issue: 5

Year: 2008 Volume: 7 Issue: 4

Year: 2008 Volume: 7 Issue: 2

Year: 2008 Volume: 7 Issue: 1

PRINCESS, a protein interaction confidence evaluation system with multiple data sources.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Li, Dong Liu, Wanlin Liu, Zhongyang Wang, Jian Liu, Qijun Zhu, Yunping He, Fuchu
Description	Country affiliation: China Author Affiliation: Li D ( The State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, 100850 Beijing, China.)
Abstract	Advances in proteomics technologies have enabled novel protein interactions to be detected at high speed, but they come at the expense of relatively low quality. Therefore, a crucial step in utilizing the high throughput protein interaction data is evaluating their confidence and then separating the subsets of reliable interactions from the background noise for further analyses. Using Bayesian network approaches, we combine multiple heterogeneous biological evidences, including model organism protein-protein interaction, interaction domain, functional annotation, gene expression, genome context, and network topology structure, to assign reliability to the human protein-protein interactions identified by high throughput experiments. This method shows high sensitivity and specificity to predict true interactions from the human high throughput protein-protein interaction data sets. This method has been developed into an on-line confidence scoring system specifically for the human high throughput protein-protein interactions. Users may submit their protein-protein interaction data on line, and the detailed information about the supporting evidence for query interactions together with the confidence scores will be returned. The Web interface of PRINCESS (protein interaction confidence evaluation system with multiple data sources) is available at the website of China Human Proteome Organisation.
File Format	HTM / HTML
ISSN	15359476
e-ISSN	15359484
Journal	Molecular & Cellular Proteomics
Issue Number	6
Volume Number	7
Language	English
Publisher	American Society for Biochemistry and Molecular Biology
Publisher Date	2008-06-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Discipline Proteomics Proteomics Algorithms Animals Area Under Curve Bayes Theorem Computational Biology Data Interpretation, Statistical Databases, Protein Gene Expression Regulation Genome Protein Interaction Mapping Roc Curve Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Medicine Analytical Chemistry Molecular Biology Biochemistry

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Princess, a protein interaction confidence evaluation system with multiple data.

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PRINCESS, a protein interaction confidence evaluation system with multiple data sources.

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