Evidence map›Paper›PMID 26673695›Full record

ArticleNucleic acids research2016

MMB-GUI: a fast morphing method demonstrates a possible ribosomal tRNA translocation trajectory.

Alex Tek, Andrei A Korostelev, Samuel Coulbourn Flores

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alex TekCell and Molecular Biology Department, Uppsala University, Box 596, Uppsala 751 24, Sweden.
Andrei A KorostelevRNA Therapeutics Institute, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, 368 Plantation St., Worcester, MA 01605, USA.
Samuel Coulbourn FloresCell and Molecular Biology Department, Uppsala University, Box 596, Uppsala 751 24, Sweden sam@xray.bmc.uu.se.

Funding

Structural bases for cellular stress responses mediated by stalled translationR01GM106105 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KOROSTELEV, ANDREI · 2013 to 2017
$1.6M
Molecular principles of translation terminationR01GM107465 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KOROSTELEV, ANDREI · 2015 to 2018
$1.3M
NIGMS NIH HHS R01 GM106105NIGMS NIH HHS R01 GM107465
6 · The paper itself

Abstract

Easy-to-use macromolecular viewers, such as UCSF Chimera, are a standard tool in structural biology. They allow rendering and performing geometric operations on large complexes, such as viruses and ribosomes. Dynamical simulation codes enable modeling of conformational changes, but may require considerable time and many CPUs. There is an unmet demand from structural and molecular biologists for software in the middle ground, which would allow visualization combined with quick and interactive modeling of conformational changes, even of large complexes. This motivates MMB-GUI. MMB uses an internal-coordinate, multiscale approach, yielding as much as a 2000-fold speedup over conventional simulation methods. We use Chimera as an interactive graphical interface to control MMB. We show how this can be used for morphing of macromolecules that can be heterogeneous in biopolymer type, sequence, and chain count, accurately recapitulating structural intermediates. We use MMB-GUI to create a possible trajectory of EF-G mediated gate-passing translocation in the ribosome, with all-atom structures. This shows that the GUI makes modeling of large macromolecules accessible to a wide audience. The morph highlights similarities in tRNA conformational changes as tRNA translocates from A to P and from P to E sites and suggests that tRNA flexibility is critical for translocation completion.

Indexed as

User-Computer InterfaceModels, MolecularMolecular ConformationPeptide Elongation Factor GProtein BindingRibosomesRNA, TransferPeptide Elongation Factor GRNA, Transfer

Identifiers

PMID26673695
PMCPMC4705676

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.