↓ Skip to main content

PLOS

Src Kinase Conformational Activation: Thermodynamics, Pathways, and Mechanisms

Overview of attention for article published in PLoS Computational Biology, March 2008
Altmetric Badge

Readers on

mendeley
99 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
Title
Src Kinase Conformational Activation: Thermodynamics, Pathways, and Mechanisms
Published in
PLoS Computational Biology, March 2008
DOI 10.1371/journal.pcbi.1000047
Pubmed ID
Authors

Sichun Yang, Benoît Roux

Abstract

Tyrosine kinases of the Src-family are large allosteric enzymes that play a key role in cellular signaling. Conversion of the kinase from an inactive to an active state is accompanied by substantial structural changes. Here, we construct a coarse-grained model of the catalytic domain incorporating experimental structures for the two stable states, and simulate the dynamics of conformational transitions in kinase activation. We explore the transition energy landscapes by constructing a structural network among clusters of conformations from the simulations. From the structural network, two major ensembles of pathways for the activation are identified. In the first transition pathway, we find a coordinated switching mechanism of interactions among the alphaC helix, the activation-loop, and the beta strands in the N-lobe of the catalytic domain. In a second pathway, the conformational change is coupled to a partial unfolding of the N-lobe region of the catalytic domain. We also characterize the switching mechanism for the alphaC helix and the activation-loop in detail. Finally, we test the performance of a Markov model and its ability to account for the structural kinetics in the context of Src conformational changes. Taken together, these results provide a broad framework for understanding the main features of the conformational transition taking place upon Src activation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 7%
Italy 3 3%
Germany 2 2%
Brazil 1 1%
United Kingdom 1 1%
Turkey 1 1%
Denmark 1 1%
Canada 1 1%
Russia 1 1%
Other 1 1%
Unknown 80 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 34%
Student > Ph. D. Student 24 24%
Professor > Associate Professor 13 13%
Student > Bachelor 8 8%
Student > Master 6 6%
Other 10 10%
Unknown 4 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 40%
Chemistry 26 26%
Physics and Astronomy 12 12%
Engineering 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 8 8%
Unknown 4 4%