Evidence map›Paper›PMID 21641299›Full record

ArticleBiophysical journal2011

Theoretical and computational investigation of flagellin translocation and bacterial flagellum growth.

David E Tanner, Wen Ma, Zhongzhou Chen, Klaus Schulten

Abstract read
In one paragraph

Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Type III secretion systems: the bacterial flagellum and the injectisome.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Parallel Generalized Born Implicit Solvent Calculations with NAMD.Journal of chemical theory and computation · 2011
    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

4 authors.

David E TannerCenter for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Wen Ma
Zhongzhou Chen
Klaus Schulten

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI LUTHEY-SCHULTEN, ZAIDA · 1990 to 2011
$19.8M
NCRR NIH HHS P41 RR005969NCRR NIH HHS P41-RR05969
6 · The paper itself

Abstract

The bacterial flagellum is a self-assembling filament, which bacteria use for swimming. It is built from tens of thousands of flagellin monomers in a self-assembly process that involves translocation of the monomers through the flagellar interior, a channel, to the growing tip. Flagellum monomers are pumped into the filament at the base, move unfolded along the channel and then bind to the tip of the filament, thereby extending the growing flagellum. The flagellin translocation process, due to the flagellum maximum length of 20 μm, is an extreme example of protein transport through channels. Here, we derive a model for flagellin transport through the long confining channel, testing the key assumptions of the model through molecular dynamics simulations that also furnish system parameters needed for quantitative description. Together, mathematical model and molecular dynamics simulations explain why the growth rate of flagellar filaments decays exponentially with filament length and why flagellum growth ceases at a certain maximum length.

Indexed as

Molecular Dynamics SimulationBacteriaFlagellaFlagellinKineticsPressureProtein ConformationProtein TransportProtein UnfoldingFlagellin

Identifiers

PMID21641299
PMCPMC3117181

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.