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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Structural similarity of genetically interacting proteins
Oranit Dror1, Dina Schneidman-Duhovny, Alexandra Shulman-Peleg
1School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences Tel Aviv University, Tel Aviv, 69978, Israel. oranit@tau.ac.il
Structural similarity helps explain many gene interactions in yeast and worm, outperforming sequence-based methods. This finding reveals new insights into cellular backup mechanisms and protein interactions.
Area of Science:
- Genomics
- Structural Biology
- Systems Biology
Background:
- Understanding gene function and cellular backup mechanisms relies on studying gene mutants and their interactions.
- Large-scale genetic interaction networks in yeast and worm enable global analysis of these interactions.
- Currently, sequence similarity explains less than 2% of known genetic interactions in these model organisms.
Purpose of the Study:
- To investigate the role of structural similarity in predicting genetic interactions across species.
- To identify structural features that can better explain genetic interactions compared to sequence similarity.
Main Methods:
- Genome-scale structural comparison of protein pairs in yeast and worm.
- Analysis of known genetic interaction networks.
- Identification and evaluation of structural features for predicting genetic interactions.
Main Results:
- A significant fraction of genetic interactions (7-10% in yeast, 14% in worm) involve structurally similar proteins.
- Structural features are superior to sequence-based features in predicting genetic interactions.
- Common interacting partners are the most frequent mechanism for genetic interactions among structurally similar proteins.
Conclusions:
- Structural similarity is a key factor in explaining and predicting genetic interactions.
- Structural comparisons offer a more powerful approach than sequence similarity for understanding genetic interactions.
- The findings highlight the importance of protein structure in biological networks and cellular function.
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