Literature DB >> 22336622

Computational studies of molecular machines: the ribosome.

Karissa Y Sanbonmatsu1.   

Abstract

The past decade has produced an avalanche of experimental data on the structure and dynamics of the ribosome. Groundbreaking studies in structural biology and kinetics have placed important constraints on ribosome structural dynamics. However, a gulf remains between static structures and time dependent data. In particular, X-ray crystallography and cryo-EM studies produce static models of the ribosome in various states, but lack dynamic information. Single molecule studies produce information on the rates of transitions between these states but do not have high-resolution spatial information. Computational studies have aided in bridging this gap by providing atomic resolution simulations of structural fluctuations and transitions between configurations. Published by Elsevier Ltd.

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Year:  2012        PMID: 22336622      PMCID: PMC3675280          DOI: 10.1016/j.sbi.2012.01.008

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  74 in total

1.  Electrostatics of nanosystems: application to microtubules and the ribosome.

Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

2.  Connecting energy landscapes with experimental rates for aminoacyl-tRNA accommodation in the ribosome.

Authors:  Paul C Whitford; José N Onuchic; Karissa Y Sanbonmatsu
Journal:  J Am Chem Soc       Date:  2010-09-29       Impact factor: 15.419

3.  Accommodation of aminoacyl-tRNA into the ribosome involves reversible excursions along multiple pathways.

Authors:  Paul C Whitford; Peter Geggier; Roger B Altman; Scott C Blanchard; José N Onuchic; Karissa Y Sanbonmatsu
Journal:  RNA       Date:  2010-04-28       Impact factor: 4.942

4.  Aminoglycoside-induced reduction in nucleotide mobility at the ribosomal RNA A-site as a potentially key determinant of antibacterial activity.

Authors:  Malvika Kaul; Christopher M Barbieri; Daniel S Pilch
Journal:  J Am Chem Soc       Date:  2006-02-01       Impact factor: 15.419

5.  Side-chain recognition and gating in the ribosome exit tunnel.

Authors:  Paula M Petrone; Christopher D Snow; Del Lucent; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-22       Impact factor: 11.205

6.  Transfer RNA in the hybrid P/E state: correlating molecular dynamics simulations with cryo-EM data.

Authors:  Wen Li; Joachim Frank
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-09       Impact factor: 11.205

7.  Computational methods for defining the allowed conformational space of 16S rRNA based on chemical footprinting data.

Authors:  D L Fink; R O Chen; H F Noller; R B Altman
Journal:  RNA       Date:  1996-09       Impact factor: 4.942

Review 8.  A new view of protein synthesis: mapping the free energy landscape of the ribosome using single-molecule FRET.

Authors:  James B Munro; Andrea Vaiana; Kevin Y Sanbonmatsu; Scott C Blanchard
Journal:  Biopolymers       Date:  2008-07       Impact factor: 2.505

9.  Path of nascent polypeptide in exit tunnel revealed by molecular dynamics simulation of ribosome.

Authors:  Hisashi Ishida; Steven Hayward
Journal:  Biophys J       Date:  2008-10-20       Impact factor: 4.033

10.  Examinations of tRNA Range of Motion Using Simulations of Cryo-EM Microscopy and X-Ray Data.

Authors:  Thomas R Caulfield; Batsal Devkota; Geoffrey C Rollins
Journal:  J Biophys       Date:  2011-03-28
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  24 in total

1.  Centers of motion associated with EF-Tu binding to the ribosome.

Authors:  Maxim Paci; George E Fox
Journal:  RNA Biol       Date:  2016-01-19       Impact factor: 4.652

Review 2.  Molecular dynamics simulations of large macromolecular complexes.

Authors:  Juan R Perilla; Boon Chong Goh; C Keith Cassidy; Bo Liu; Rafael C Bernardi; Till Rudack; Hang Yu; Zhe Wu; Klaus Schulten
Journal:  Curr Opin Struct Biol       Date:  2015-04-04       Impact factor: 6.809

3.  The ribosome's energy landscape: Recent insights from computation.

Authors:  Paul Charles Whitford
Journal:  Biophys Rev       Date:  2015-01-18

4.  Mechanisms of SecM-mediated stalling in the ribosome.

Authors:  James Gumbart; Eduard Schreiner; Daniel N Wilson; Roland Beckmann; Klaus Schulten
Journal:  Biophys J       Date:  2012-07-17       Impact factor: 4.033

5.  Molecular mechanics of 30S subunit head rotation.

Authors:  Srividya Mohan; John Paul Donohue; Harry F Noller
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-03       Impact factor: 11.205

Review 6.  Close encounters with DNA.

Authors:  C Maffeo; J Yoo; J Comer; D B Wells; B Luan; A Aksimentiev
Journal:  J Phys Condens Matter       Date:  2014-09-19       Impact factor: 2.333

Review 7.  From static to dynamic: the need for structural ensembles and a predictive model of RNA folding and function.

Authors:  Daniel Herschlag; Benjamin E Allred; Seshadri Gowrishankar
Journal:  Curr Opin Struct Biol       Date:  2015-03-02       Impact factor: 6.809

8.  Solution structure of an ultra-stable single-chain insulin analog connects protein dynamics to a novel mechanism of receptor binding.

Authors:  Michael D Glidden; Yanwu Yang; Nicholas A Smith; Nelson B Phillips; Kelley Carr; Nalinda P Wickramasinghe; Faramarz Ismail-Beigi; Michael C Lawrence; Brian J Smith; Michael A Weiss
Journal:  J Biol Chem       Date:  2017-11-07       Impact factor: 5.157

Review 9.  RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

Authors:  Jiří Šponer; Giovanni Bussi; Miroslav Krepl; Pavel Banáš; Sandro Bottaro; Richard A Cunha; Alejandro Gil-Ley; Giovanni Pinamonti; Simón Poblete; Petr Jurečka; Nils G Walter; Michal Otyepka
Journal:  Chem Rev       Date:  2018-01-03       Impact factor: 60.622

Review 10.  New tricks for old dogs: improving the accuracy of biomolecular force fields by pair-specific corrections to non-bonded interactions.

Authors:  Jejoong Yoo; Aleksei Aksimentiev
Journal:  Phys Chem Chem Phys       Date:  2018-03-28       Impact factor: 3.676

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