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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
Published on: March 3, 2015
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Towards Extracting Supporting Information About Predicted Protein-Protein Interactions.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|December 17, 2015
Summary
UPSITE is a text mining tool that helps biologists validate predicted protein-protein interactions (PPIs). It extracts evidence and calculates protein similarity, easing the interpretation of novel PPIs.
Area of Science:
- Biomedical Informatics
- Computational Biology
- Text Mining
Background:
- Identifying protein-protein interactions (PPIs) is crucial for understanding biological processes.
- Current relation extraction systems primarily focus on binary interactions, with limited real-world applications beyond database curation.
- Biologists face challenges in interpreting the validity and relevance of novel PPIs predicted by algorithms.
Purpose of the Study:
- To introduce UPSITE, a novel text mining tool designed to extract evidence supporting hypothesized protein-protein interactions (PPIs).
- To provide a method for assessing the evidential support of PPIs when direct evidence is not found in literature.
- To reduce the burden on biologists for interpreting novel PPIs by offering contextual information and similarity scores.
Main Methods:
- UPSITE employs a binary relation detector to search for direct evidence of PPIs in PubMed abstracts.
- For unconfirmed PPIs, UPSITE retrieves and analyzes documents related to individual proteins to extract contextual biological event information.
- Semantic similarity between proteins is calculated using angular distance to provide supplementary evidence for the hypothesized PPI.
Main Results:
- The relation extraction component achieved a high F-score of 0.88 on the HPRD50 corpus.
- The calculated semantic similarity using angular distance was found to be statistically significant, indicating its utility.
- UPSITE effectively retrieves and presents contextual information, aiding in the assessment of predicted PPIs.
Conclusions:
- UPSITE offers a valuable approach to support the interpretation of predicted protein-protein interactions.
- By presenting side-by-side annotations and a quantitative similarity score, UPSITE assists biologists in evaluating novel PPIs.
- The tool aims to alleviate the burden of validating and understanding the relevance of newly identified PPIs.
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