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 accessAbstract
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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Cites
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Schuchmann, K., & Müller, V. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3365 · Cited by 845
Torsional Carbon Nanotube Artificial Muscles
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Propulsive nanomachines: the convergent evolution of archaella, flagella and cilia
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Swimming at low Reynolds number: a beginners guide to undulatory locomotion
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Metadata
- Authors
- Sowa, Y., & Berry, R. M.
- Venue
- Quarterly Reviews of Biophysics
- Publisher
- Cambridge University Press (CUP)
- 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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.