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Probing the Energy Landscape of Activation Gating of the Bacterial Potassium Channel KcsA

Overview of attention for article published in PLoS Computational Biology, May 2013
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Title
Probing the Energy Landscape of Activation Gating of the Bacterial Potassium Channel KcsA
Published in
PLoS Computational Biology, May 2013
DOI 10.1371/journal.pcbi.1003058
Pubmed ID
Authors

Tobias Linder, Bert L. de Groot, Anna Stary-Weinzinger

Abstract

The bacterial potassium channel KcsA, which has been crystallized in several conformations, offers an ideal model to investigate activation gating of ion channels. In this study, essential dynamics simulations are applied to obtain insights into the transition pathways and the energy profile of KcsA pore gating. In agreement with previous hypotheses, our simulations reveal a two phasic activation gating process. In the first phase, local structural rearrangements in TM2 are observed leading to an intermediate channel conformation, followed by large structural rearrangements leading to full opening of KcsA. Conformational changes of a highly conserved phenylalanine, F114, at the bundle crossing region are crucial for the transition from a closed to an intermediate state. 3.9 µs umbrella sampling calculations reveal that there are two well-defined energy barriers dividing closed, intermediate, and open channel states. In agreement with mutational studies, the closed state was found to be energetically more favorable compared to the open state. Further, the simulations provide new insights into the dynamical coupling effects of F103 between the activation gate and the selectivity filter. Investigations on individual subunits support cooperativity of subunits during activation gating.

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Geographical breakdown

Country Count As %
United Kingdom 2 3%
Korea, Republic of 1 1%
Germany 1 1%
Argentina 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 35%
Researcher 18 26%
Professor 5 7%
Professor > Associate Professor 5 7%
Student > Master 5 7%
Other 8 12%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 34%
Chemistry 12 18%
Biochemistry, Genetics and Molecular Biology 8 12%
Medicine and Dentistry 4 6%
Engineering 3 4%
Other 10 15%
Unknown 8 12%