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Updated: May 14, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Evolutionary paths that link orthogonal pairs of binding proteins
Ziv Avizemer1, Carlos Martí-Gómez2, Shlomo Yakir Hoch1
1Department of Biomolecular Sciences, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Researchers developed a computational method to find evolutionary paths between protein pairs. This approach successfully identified a functional 19-mutation pathway, revealing how protein specificity can rapidly evolve through positive selection.
Area of Science:
- Biochemistry
- Molecular Biology
- Evolutionary Biology
Background:
- Protein-binding pairs can evolve extreme specificity, insulating them from similar proteins.
- Evolution typically involves accumulating single-point mutations selected for sufficient binding affinity.
- Discovering functional evolutionary paths between distantly related protein pairs was previously limited.
Purpose of the Study:
- To develop a computational framework for identifying low-molecular-strain, single-mutation paths between protein pairs.
- To apply this framework to bacterial endonuclease-immunity pairs with significant sequence divergence.
- To understand the evolutionary mechanisms driving functional divergence and specificity changes in proteins.
Main Methods:
- Development of a computational framework to predict mutation paths with minimal molecular strain.
- Application of the framework to orthogonal bacterial endonuclease-immunity pairs.
- In vivo validation of the predicted evolutionary pathways.
Main Results:
- A strain-free 19-mutation path was discovered between two orthogonal protein pairs.
- This path included mutations bridging identities not exchangeable by single-nucleotide changes.
- The functional shift in binding preference occurred abruptly, driven by single radical mutations in each partner.
- Specificity-switching mutations enhanced fitness, indicating positive Darwinian selection.
Conclusions:
- The computational framework enables the discovery of functional evolutionary pathways between distantly related protein pairs.
- Functional divergence and abrupt changes in protein specificity can be driven by positive selection.
- Understanding these evolutionary mechanisms provides insights into protein adaptation and design.
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