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A Two-State Model for the Dynamics of the Pyrophosphate Ion Release in Bacterial RNA Polymerase

Overview of attention for article published in PLoS Computational Biology, April 2013
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Title
A Two-State Model for the Dynamics of the Pyrophosphate Ion Release in Bacterial RNA Polymerase
Published in
PLoS Computational Biology, April 2013
DOI 10.1371/journal.pcbi.1003020
Pubmed ID
Authors

Lin-Tai Da, Fátima Pardo Avila, Dong Wang, Xuhui Huang

Abstract

The dynamics of the PPi release during the transcription elongation of bacterial RNA polymerase and its effects on the Trigger Loop (TL) opening motion are still elusive. Here, we built a Markov State Model (MSM) from extensive all-atom molecular dynamics (MD) simulations to investigate the mechanism of the PPi release. Our MSM has identified a simple two-state mechanism for the PPi release instead of a more complex four-state mechanism observed in RNA polymerase II (Pol II). We observed that the PPi release in bacterial RNA polymerase occurs at sub-microsecond timescale, which is ∼3-fold faster than that in Pol II. After escaping from the active site, the (Mg-PPi)(2-) group passes through a single elongated metastable region where several positively charged residues on the secondary channel provide favorable interactions. Surprisingly, we found that the PPi release is not coupled with the TL unfolding but correlates tightly with the side-chain rotation of the TL residue R1239. Our work sheds light on the dynamics underlying the transcription elongation of the bacterial RNA polymerase.

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Geographical breakdown

Country Count As %
Finland 1 2%
Russia 1 2%
Belgium 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 38%
Researcher 7 13%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 4 8%
Unknown 10 19%
Readers by discipline Count As %
Chemistry 14 27%
Agricultural and Biological Sciences 10 19%
Biochemistry, Genetics and Molecular Biology 6 12%
Physics and Astronomy 3 6%
Chemical Engineering 2 4%
Other 5 10%
Unknown 12 23%