Understanding Protein Complexes Through High-Throughput Data
Author Information
Author(s): Krycer James R, Pang Chi Nam Ignatius, Wilkins Marc R
Primary Institution: University of New South Wales, Sydney, Australia
Hypothesis
Can high-throughput protein-protein interaction data accurately determine the architecture of protein complexes?
Conclusion
Combining high-throughput techniques can accurately determine the constituent proteins of complexes and infer their topology.
Supporting Evidence
- High-throughput techniques can accurately define protein membership in complexes.
- Core proteins are likely to be spatially grouped together in complexes.
- Modules can provide clues to the topology of proteins in a complex.
Takeaway
This study looks at how scientists can use data from many experiments to figure out which proteins work together in big groups called complexes.
Methodology
Two-dimensional representations of protein complexes were generated and overlaid with high-quality pairwise interaction data.
Potential Biases
Potential false positives from yeast two-hybrid experiments and overexpression of proteins.
Limitations
The study did not consider the stoichiometry within the complexes and the 3-D structures of the co-activator complexes are inferred but unknown.
Digital Object Identifier (DOI)
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