Connecting the Kinetics and Energy Landscape of tRNA Translocation on the Ribosome
Abstract
Functional rearrangements in biomolecular assemblies result from diffusion across an underlying energy landscape. While bulk kinetic measurements rely on discrete state-like approximations to the energy landscape, single-molecule methods can project the free energy onto specific coordinates. With measures of the diffusion, one may establish a quantitative bridge between state-like kinetic measurements and the continuous energy landscape. We used an all-atom molecular dynamics simulation of the 70S ribosome (2.1 million atoms; 1.3 microseconds) to provide this bridge for specific conformational events associated with the process of tRNA translocation. Starting from a pre-translocation configuration, we identified sets of residues that collectively undergo rotary rearrangements implicated in ribosome function. Estimates of the diffusion coefficients along these collective coordinates for translocation were then used to interconvert between experimental rates and measures of the energy landscape. This analysis, in conjunction with previously reported experimental rates of translocation, provides an upper-bound estimate of the free-energy barriers associated with translocation. While this analysis was performed for a particular kinetic scheme of translocation, the quantitative framework is general and may be applied to energetic and kinetic descriptions that include any number of intermediates and transition states.
- Authors:
-
- Northeastern Univ., Boston, MA (United States). Dept. of Physics; Rice Univ., Houston, TX (United States). Center for Theoretical Biological Physics; Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics
- Cornell Univ., Ithaca, NY (United States). Weill Medical College. Dept. of Physiology and Biophysics
- Univ. of California, Berkeley, CA (United States). Depts. of Molecular and Cell Biology and Chemistry; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program; National Institutes of Health (NIH); National Science Foundation (NSF)
- OSTI Identifier:
- 1627229
- Grant/Contract Number:
- AC52-06NA25396; AC02-05CH11231; R01-GM072686; 1R01GM65050; PHY-0822283; TG-MCB110021
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS Computational Biology (Online)
- Additional Journal Information:
- Journal Name: PLoS Computational Biology (Online); Journal Volume: 9; Journal Issue: 3; Journal ID: ISSN 1553-7358
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 97 MATHEMATICS AND COMPUTING; Biochemistry & Molecular Biology; Mathematical & Computational Biology
Citation Formats
Whitford, Paul C., Blanchard, Scott C., Cate, Jamie H. D., and Sanbonmatsu, Karissa Y. Connecting the Kinetics and Energy Landscape of tRNA Translocation on the Ribosome. United States: N. p., 2013.
Web. doi:10.1371/journal.pcbi.1003003.
Whitford, Paul C., Blanchard, Scott C., Cate, Jamie H. D., & Sanbonmatsu, Karissa Y. Connecting the Kinetics and Energy Landscape of tRNA Translocation on the Ribosome. United States. https://doi.org/10.1371/journal.pcbi.1003003
Whitford, Paul C., Blanchard, Scott C., Cate, Jamie H. D., and Sanbonmatsu, Karissa Y. Thu .
"Connecting the Kinetics and Energy Landscape of tRNA Translocation on the Ribosome". United States. https://doi.org/10.1371/journal.pcbi.1003003. https://www.osti.gov/servlets/purl/1627229.
@article{osti_1627229,
title = {Connecting the Kinetics and Energy Landscape of tRNA Translocation on the Ribosome},
author = {Whitford, Paul C. and Blanchard, Scott C. and Cate, Jamie H. D. and Sanbonmatsu, Karissa Y.},
abstractNote = {Functional rearrangements in biomolecular assemblies result from diffusion across an underlying energy landscape. While bulk kinetic measurements rely on discrete state-like approximations to the energy landscape, single-molecule methods can project the free energy onto specific coordinates. With measures of the diffusion, one may establish a quantitative bridge between state-like kinetic measurements and the continuous energy landscape. We used an all-atom molecular dynamics simulation of the 70S ribosome (2.1 million atoms; 1.3 microseconds) to provide this bridge for specific conformational events associated with the process of tRNA translocation. Starting from a pre-translocation configuration, we identified sets of residues that collectively undergo rotary rearrangements implicated in ribosome function. Estimates of the diffusion coefficients along these collective coordinates for translocation were then used to interconvert between experimental rates and measures of the energy landscape. This analysis, in conjunction with previously reported experimental rates of translocation, provides an upper-bound estimate of the free-energy barriers associated with translocation. While this analysis was performed for a particular kinetic scheme of translocation, the quantitative framework is general and may be applied to energetic and kinetic descriptions that include any number of intermediates and transition states.},
doi = {10.1371/journal.pcbi.1003003},
journal = {PLoS Computational Biology (Online)},
number = 3,
volume = 9,
place = {United States},
year = {Thu Mar 21 00:00:00 EDT 2013},
month = {Thu Mar 21 00:00:00 EDT 2013}
}
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journal, July 2003
- Tama, F.; Valle, M.; Frank, J.
- Proceedings of the National Academy of Sciences, Vol. 100, Issue 16
Biomolecular dynamics: order–disorder transitions and energy landscapes
journal, June 2012
- Whitford, Paul C.; Sanbonmatsu, Karissa Y.; Onuchic, José N.
- Reports on Progress in Physics, Vol. 75, Issue 7
Coarse-grained models to study dynamics of nanoscale biomolecules and their applications to the ribosome
journal, October 2010
- Trylska, Joanna
- Journal of Physics: Condensed Matter, Vol. 22, Issue 45
MOTIF-EM: an automated computational tool for identifying conserved regions in CryoEM structures
journal, June 2010
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- Bioinformatics, Vol. 26, Issue 12
Elastic properties of ribosomal RNA building blocks: molecular dynamics of the GTPase-associated center rRNA
journal, June 2007
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Structures of the Ribosome in Intermediate States of Ratcheting
journal, August 2009
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The energy landscapes and motions of proteins
journal, December 1991
- Frauenfelder, H.; Sligar, S.; Wolynes, P.
- Science, Vol. 254, Issue 5038
THEORY OF PROTEIN FOLDING: The Energy Landscape Perspective
journal, October 1997
- Onuchic, José Nelson; Luthey-Schulten, Zaida; Wolynes, Peter G.
- Annual Review of Physical Chemistry, Vol. 48, Issue 1
Accommodation of aminoacyl-tRNA into the ribosome involves reversible excursions along multiple pathways
journal, April 2010
- Whitford, P. C.; Geggier, P.; Altman, R. B.
- RNA, Vol. 16, Issue 6
A-Site Residues Move Independently from P-Site Residues in all-Atom Molecular Dynamics Simulations of the 70S Bacterial Ribosome
journal, January 2012
- Brandman, Relly; Brandman, Yigal; Pande, Vijay S.
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Exploring the Helix-Coil Transition via All-Atom Equilibrium Ensemble Simulations
journal, April 2005
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Comparison of tRNA Motions in the Free and Ribosomal Bound Structures
journal, November 2005
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