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Surface Dynamics in Allosteric Regulation of Protein-Protein Interactions: Modulation of Calmodulin Functions by Ca2+

Overview of attention for article published in PLoS Computational Biology, April 2013
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Title
Surface Dynamics in Allosteric Regulation of Protein-Protein Interactions: Modulation of Calmodulin Functions by Ca2+
Published in
PLoS Computational Biology, April 2013
DOI 10.1371/journal.pcbi.1003028
Pubmed ID
Authors

Yosef Y. Kuttner, Tal Nagar, Stanislav Engel

Abstract

Knowledge of the structural basis of protein-protein interactions (PPI) is of fundamental importance for understanding the organization and functioning of biological networks and advancing the design of therapeutics which target PPI. Allosteric modulators play an important role in regulating such interactions by binding at site(s) orthogonal to the complex interface and altering the protein's propensity for complex formation. In this work, we apply an approach recently developed by us for analyzing protein surfaces based on steered molecular dynamics simulation (SMD) to the study of the dynamic properties of functionally distinct conformations of a model protein, calmodulin (CaM), whose ability to interact with target proteins is regulated by the presence of the allosteric modulator Ca(2+). Calmodulin is a regulatory protein that acts as an intracellular Ca(2+) sensor to control a wide variety of cellular processes. We demonstrate that SMD analysis is capable of pinpointing CaM surfaces implicated in the recognition of both the allosteric modulator Ca(2+) and target proteins. Our analysis of changes in the dynamic properties of the CaM backbone elicited by Ca(2+) binding yielded new insights into the molecular mechanism of allosteric regulation of CaM-target interactions.

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The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 1 3%
Czechia 1 3%
Spain 1 3%
Mexico 1 3%
Unknown 26 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 44%
Student > Ph. D. Student 7 22%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Other 1 3%
Other 3 9%
Unknown 1 3%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 34%
Agricultural and Biological Sciences 11 34%
Chemistry 5 16%
Chemical Engineering 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 2 6%