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Three-dimensional modeling of protein interactions and complexes is going 'omics
Amelie Stein1, Roberto Mosca, Patrick Aloy
1Institute for Research in Biomedicine (IRB Barcelona), Joint IRB-BSC Program in Computational Biology, c/Baldiri i Reixac 10-12, 08028 Barcelona, Spain.
Current Opinion in Structural Biology
|February 16, 2011
Summary
Computational methods are crucial for understanding protein-protein interactions (PPIs) and their structures. This review highlights recent advances in structural bioinformatics for modeling PPIs and building 3D interactome networks.
Area of Science:
- Structural bioinformatics
- Computational biology
- Systems biology
Background:
- High-throughput studies identify numerous protein-protein interactions (PPIs) and multiprotein complexes.
- Structural details of most PPIs remain unknown due to experimental challenges.
- Understanding PPI structures is vital for elucidating complex functions.
Purpose of the Study:
- To review recent advancements in computational modeling of protein interactions and complexes.
- To emphasize proteome-wide applicable methods for structural bioinformatics.
- To discuss the role of these methods in constructing 3D interactome networks.
Main Methods:
- Critical review of recent developments in structural bioinformatics.
- Focus on methods for modeling large macromolecular machines, domain-domain interactions, and peptide-mediated interactions.
- Emphasis on proteome-wide computational approaches.
Main Results:
- Recent computational methods offer powerful tools for modeling protein interactions at various scales.
- Proteome-wide strategies are emerging for the structural analysis of the interactome.
- Advances facilitate the transition from 2D interaction maps to 3D structural networks.
Conclusions:
- Computational modeling is essential for overcoming experimental limitations in PPI structure determination.
- Emerging methods promise to enable large-scale structural interactome network construction.
- This field is critical for a comprehensive understanding of cellular machinery and function.
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