GAIA: A Tool for Analyzing Protein Interactions
Author Information
Author(s): Kelvin X Zhang, BF Francis Ouellette
Primary Institution: University of British Columbia
Hypothesis
Over-represented gram-gram interactions mediate domain-domain interactions (DDIs) and thus protein-protein interactions (PPIs).
Conclusion
GAIA represents a novel and reliable way to predict DDIs that mediate PPIs.
Supporting Evidence
- GAIA achieves a true positive rate of 82% and a false positive rate of 21%.
- The algorithm improves sensitivity from 68% to 82% when using weighted gram pairs.
- GAIA successfully predicted interactions that were previously validated experimentally.
Takeaway
GAIA is a computer program that helps scientists figure out how proteins interact with each other by looking at small parts of their sequences.
Methodology
GAIA extracts n-grams from protein sequences and identifies interactions based on their frequencies.
Limitations
GAIA is limited by its computational time and may not predict interactions mediated by segments outside known interacting domains.
Participant Demographics
The study focuses on protein interactions in Saccharomyces cerevisiae (budding yeast).
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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