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Effects of Ligand Binding on the Mechanical Properties of Ankyrin Repeat Protein Gankyrin

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
Effects of Ligand Binding on the Mechanical Properties of Ankyrin Repeat Protein Gankyrin
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002864
Pubmed ID
Authors

Giovanni Settanni, David Serquera, Piotr E. Marszalek, Emanuele Paci, Laura S. Itzhaki

Abstract

Ankyrin repeat proteins are elastic materials that unfold and refold sequentially, repeat by repeat, under force. Herein we use atomistic molecular dynamics to compare the mechanical properties of the 7-ankyrin-repeat oncoprotein Gankyrin in isolation and in complex with its binding partner S6-C. We show that the bound S6-C greatly increases the resistance of Gankyrin to mechanical stress. The effect is specific to those repeats of Gankyrin directly in contact with S6-C, and the mechanical 'hot spots' of the interaction map to the same repeats as the thermodynamic hot spots. A consequence of stepwise nature of unfolding and the localized nature of ligand binding is that it impacts on all aspects of the protein's mechanical behavior, including the order of repeat unfolding, the diversity of unfolding pathways accessed, the nature of partially unfolded intermediates, the forces required and the work transferred to the system to unfold the whole protein and its parts. Stepwise unfolding thus provides the means to buffer repeat proteins and their binding partners from mechanical stress in the cell. Our results illustrate how ligand binding can control the mechanical response of proteins. The data also point to a cellular mechano-switching mechanism whereby binding between two partner macromolecules is regulated by mechanical stress.

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The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 45%
Researcher 6 19%
Student > Master 4 13%
Student > Bachelor 2 6%
Professor 1 3%
Other 3 10%
Unknown 1 3%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 29%
Agricultural and Biological Sciences 6 19%
Chemistry 6 19%
Physics and Astronomy 6 19%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 6%
Unknown 1 3%