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Cited by 435

The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.

Bacterial flagellar motor

Open access
Sowa, Yoshiyuki, Berry, Richard M.·2008·Quarterly Reviews of Biophysics

Abstract

The bacterial flagellar motor is a reversible rotary nano-machine, about 45 nm in diameter, embedded in the bacterial cell envelope. It is powered by the flux of H+or Na+ions across the cytoplasmic membrane driven by an electrochemical gradient, the proton-motive force or the sodium-motive force. Each motor rotates a helical filament at several hundreds of revolutions per second (hertz). In many species, the motor switches direction stochastically, with the switching rates controlled by a network of sensory and signalling proteins. The bacterial flagellar motor was confirmed as a rotary motor in the early 1970s, the first direct observation of the function of a single molecular motor. However, because of the large size and complexity of the motor, much remains to be discovered, in particular, the structural details of the torque-generating mechanism. This review outlines what has been learned about the structure and function of the motor using a combination of genetics, single-molecule and biophysical techniques, with a focus on recent results and single-molecule techniques.

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Metadata

Authors
Sowa, Y., & Berry, R. M.
Venue
Quarterly Reviews of Biophysics
Published
2008-05
Volume
41
Issue
2
Pages
103-132
ISSN
  • 0033-5835 (ISSN-L)
  • 1469-8994
OpenAlex
W2116747597
Cited by
435
References
101
FWCI
1.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Bacterial flagellar motor. https://app.cochat.ai/papers/10.1017/s0033583508004691
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Sowa, Y., & Berry, R. M. (2008). Bacterial flagellar motor. Quarterly Reviews of Biophysics. https://doi.org/10.1017/s0033583508004691

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.