Evolutionary reprograming of protein-protein interaction specificity

Eyal Akiva; Patricia C Babbitt

doi:10.1016/j.cell.2015.10.010

Evolutionary reprograming of protein-protein interaction specificity

Cell. 2015 Oct 22;163(3):535-7. doi: 10.1016/j.cell.2015.10.010. Epub 2015 Oct 22.

Authors

Eyal Akiva¹, Patricia C Babbitt²

Affiliations

¹ Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
² Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: babbitt@cgl.ucsf.edu.

PMID: 26496596
DOI: 10.1016/j.cell.2015.10.010

Abstract

Using mutation libraries and deep sequencing, Aakre et al. study the evolution of protein-protein interactions using a toxin-antitoxin model. The results indicate probable trajectories via "intermediate" proteins that are promiscuous, thus avoiding transitions via non-interactions. These results extend observations about other biological interactions and enzyme evolution, suggesting broadly general principles.

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MeSH terms

Evolution, Molecular*
Mesorhizobium / metabolism*
Protein Interaction Maps*