Journal
GENOME BIOLOGY
Volume 7, Issue 11, Pages -Publisher
BMC
DOI: 10.1186/gb-2006-7-11-r104
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Funding
- NATIONAL LIBRARY OF MEDICINE [Z01LM092804] Funding Source: NIH RePORTER
- Intramural NIH HHS Funding Source: Medline
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We propose a novel approach to predict domain-domain interactions from a protein-protein interaction network. In our method we apply a parsimony-driven explanation of the network, where the domain interactions are inferred using linear programming optimization, and false positives in the protein network are handled by a probabilistic construction. This method outperforms previous approaches by a considerable margin. The results indicate that the parsimony principle provides a correct approach for detecting domain-domain contacts.
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