Evidence map›Paper›PMID 23931321›Full record

ArticleBiophysical journal2013

Flexibility of the bacterial chaperone trigger factor in microsecond-timescale molecular dynamics simulations.

Andrew S Thomas, Suifang Mao, Adrian H Elcock

Abstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Bisindolylmaleimides New Ligands of CaM Protein.Molecules (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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.

Andrew S ThomasDepartment of Biochemistry, University of Iowa, Iowa City, USA.
Suifang Mao
Adrian H Elcock

Funding

Molecular Simulations of Cotranslational FoldingR01GM099865 · NIGMS · UNIVERSITY OF IOWA · PI ELCOCK, ADRIAN HAMILTON · 2012 to 2015
$1.0M
NIGMS NIH HHS R01 GM099865
6 · The paper itself

Abstract

The bacterial chaperone trigger factor (TF) is the first chaperone to be encountered by a nascent protein chain as it emerges from the ribosome exit tunnel. Experimental results suggest that TF possesses considerable conformational flexibility, and in an attempt to provide an atomic-level view of this flexibility, we have performed independent 1.5-μs molecular dynamics simulations of TF in explicit solvent using two different simulation force fields (OPLS-AA/L and AMBER ff99SB-ILDN). Both simulations indicate that TF possesses tremendous flexibility, with huge excursions from the crystallographic conformation caused by reorientations of the protein's constituent domains; both simulations also predict the formation of extensive contacts between TF's PPIase domain and the Arm 1 domain that is involved in nascent-chain binding. In the OPLS simulation, however, TF rapidly settles into a very compact conformation that persists for at least 1 μs, whereas in the AMBER simulation, it remains highly dynamic; additional simulations in which the two force fields were swapped suggest that these differences are at least partly attributable to sampling issues. The simulation results provide potential rationalizations of a number of experimental observations regarding TF's conformational behavior and have implications for using simulations to model TF's function on translating ribosomes.

Indexed as

Molecular Dynamics SimulationAmino Acid SequenceEscherichia coli ProteinsMolecular Sequence DataPeptidylprolyl IsomeraseProtein BindingProtein Structure, TertiaryEscherichia coli ProteinsPeptidylprolyl Isomerasetrigger factor, E coli

Identifiers

PMID23931321
PMCPMC3736688

What OpenQuestion holds

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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.