Age-Dependent Evolution of the Yeast Protein Interaction Network
Author Information
Author(s): Kyu Kim, Edward M. Marcotte
Primary Institution: University of Texas at Austin
Hypothesis
How do protein-protein interaction networks evolve over time?
Conclusion
The study proposes a new model for protein interaction network evolution that better explains the observed age-dependent patterns in yeast.
Supporting Evidence
- The proposed crystal growth model aligns with the observed age-dependent interaction patterns in yeast.
- Real yeast protein interaction networks show unique age distribution among interacting proteins.
- Canonical models of network evolution do not adequately explain the observed data.
Takeaway
This study looks at how proteins interact and change over time, suggesting that new proteins connect in a way similar to how crystals grow.
Methodology
The study analyzed protein interaction data and proposed a crystal growth model to explain the evolution of protein interaction networks.
Limitations
The study primarily focuses on yeast and may not generalize to other organisms.
Participant Demographics
Yeast proteins categorized into different age groups based on taxonomic distribution.
Digital Object Identifier (DOI)
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