Reconstruction of Human Protein Interolog Network Using Evolutionary Conserved Network
Author Information
Author(s): Huang Tao-Wei, Lin Chung-Yen, Kao Cheng-Yan
Primary Institution: National Taiwan University
Hypothesis
Can human protein-protein interactions be accurately predicted using evolutionary conserved networks?
Conclusion
The proposed method predicts human protein-protein interactions more accurately than existing interolog-based methods.
Supporting Evidence
- The method predicted 90,871 human protein-protein interactions derived from six reference organisms.
- Evaluation results indicate that the proposed method justifies some confidence in the accuracy of predicted interactions.
- Comparisons reveal that the proposed method outperforms existing interolog-based methods.
Takeaway
This study helps scientists understand how proteins in humans interact by using data from other organisms, making it easier to predict these interactions.
Methodology
The study developed a scoring method based on conservation scores and other interaction features to predict human protein interactions from data of six eukaryotic organisms.
Potential Biases
The study acknowledges potential biases due to the reliance on high-throughput interaction data, which may contain false positives.
Limitations
The accuracy of predictions is limited by the quality and completeness of reference model organism interaction data sets.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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