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Molecular dynamics investigation of a mechanism of allosteric signal transmission in ribosomes

Overview of attention for article published in Biochemistry, August 2015
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Title
Molecular dynamics investigation of a mechanism of allosteric signal transmission in ribosomes
Published in
Biochemistry, August 2015
DOI 10.1134/s0006297915080106
Pubmed ID
Authors

G. I. Makarov, A. V. Golovin, N. V. Sumbatyan, A. A. Bogdanov

Abstract

The ribosome is a molecular machine that synthesizes all cellular proteins via translation of genetic information encoded in polynucleotide chain of messenger RNA. Transition between different stages of the ribosome working cycle is strictly coordinated by changes in structure and mutual position both of subunits of the ribosome and its ligands. Therein, information regarding structural transformations is transmitted between functional centers of the ribosome through specific signals. Usually, functional centers of ribosomes are located at a distance reaching up to several tens of angstroms, and it is believed that such signals are transduced allosterically. In our study, we attempted to answer the question of how allosteric signal can be transmitted from one of the so-called sensory elements of ribosomal tunnel (RT) to the peptidyl transferase center (PTC). A segment of RT wall from the E. coli ribosome composed of nucleotide residues A2058, A2059, m(2)A2503, G2061, A2062, and C2063 of its 23S rRNA was examined by molecular dynamics simulations. It was found that a potential signal transduction pathway A2058-C2063 acted as a dynamic ensemble of interdependent conformational states, wherein cascade-like changes can occur. It was assumed that structural rearrangement in the A2058-C2063 RT segment results in reversible inactivation of PTC due to a strong stacking contact between functionally important U2585 residue of the PTC and nucleotide residue C2063. A potential role for the observed conformational transition in the A2058-C2063 segment for regulating ribosome activity is discussed.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Student > Ph. D. Student 4 20%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Professor 2 10%
Other 3 15%
Unknown 3 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 25%
Chemistry 5 25%
Physics and Astronomy 4 20%
Agricultural and Biological Sciences 3 15%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2015.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Biochemistry
#21,449
of 22,288 outputs
Outputs of similar age
#236,542
of 276,161 outputs
Outputs of similar age from Biochemistry
#139
of 159 outputs
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