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Cited by 458

The DOI matches its Crossref record; 177 of the 177 references it cites were found in a registry or an index.

Bacterial Virulence in the Moonlight: Multitasking Bacterial Moonlighting Proteins Are Virulence Determinants in Infectious Disease

Open access
Henderson, Brian, Martin, Andrew·2011·Infection and Immunity

Abstract

Men may not be able to multitask, but it is emerging that proteins can. This capacity of proteins to exhibit more than one function is termed protein moonlighting, and, surprisingly, many highly conserved proteins involved in metabolic regulation or the cell stress response have a range of additional biological actions which are involved in bacterial virulence. This review highlights the multiple roles exhibited by a range of bacterial proteins, such as glycolytic and other metabolic enzymes and molecular chaperones, and the role that such moonlighting activity plays in the virulence characteristics of a number of important human pathogens, including Staphylococcus aureus,Streptococcus pyogenes,Streptococcus pneumoniae,Helicobacter pylori, and Mycobacterium tuberculosis.

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Metadata

Authors
Henderson, B., & Martin, A.
Venue
Infection and Immunity
Published
2011-09
Volume
79
Issue
9
Pages
3476-3491
ISSN
  • 0019-9567 (ISSN-L)
  • 1098-5522
OpenAlex
W2117414599
Cited by
458
References
177
FWCI
20.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bacterial Virulence in the Moonlight: Multitasking Bacterial Moonlighting Proteins Are Virulence Determinants in Infectious Disease. https://app.cochat.ai/papers/10.1128/iai.00179-11
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Henderson, B., & Martin, A. (2011). Bacterial Virulence in the Moonlight: Multitasking Bacterial Moonlighting Proteins Are Virulence Determinants in Infectious Disease. Infection and Immunity. https://doi.org/10.1128/iai.00179-11

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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.