The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Two novel families of bacterial membrane proteins concerned with nodulation, cell division and transport
Abstract
Summary: Homology has been established for members of two families of functionally related bacterial membrane proteins. The first family (the resistance/nodulation/cell division (RND) family) Includes (i) two metal‐resistance efflux pumps in Alcaligenes eutrophus (CzcA and CnrA), (ii) three proteins which function together in nodulation of alfalfa roots by Rhizobium meliloti (NoIGHI), and (iii) a cell division protein in Escherichia coli (EnvD). The second family (the putative membrane fusion protein (MFP) family) includes a nodulation protein (NoIF), a cell division protein (EnvC), and a multidrug resistance transport protein (EmrA). We propose that an MFP functions co‐operatively with an RND protein to transport large or hydrophobic molecules across the two membranes of the Gram‐negative bacterial cell envelope.
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Cites
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Cited by
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How do bacterial cells ensure that metalloproteins get the correct metal?
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Molecular Analysis of the Copper-Transporting Efflux System CusCFBA of Escherichia coli
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Metadata
- Authors
- Saier, M. H., Tam, R., Reizer, A., & Reizer, J.
- Venue
- Molecular Microbiology
- Publisher
- Wiley
- Published
- 1994-03
- Volume
- 11
- Issue
- 5
- Pages
- 841-847
- ISSN
- 0950-382X (ISSN-L)
- 1365-2958
- OpenAlex
- W2122510025
- Cited by
- 371
- References
- 25
- FWCI
- 10.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- Saier, M. H., Tam, R., Reizer, A., & Reizer, J. (1994). Two novel families of bacterial membrane proteins concerned with nodulation, cell division and transport. Molecular Microbiology. https://doi.org/10.1111/j.1365-2958.1994.tb00362.x
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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.
