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Cited by 3,650

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Two-Component Signal Transduction

Stock, Ann M., Robinson, Victoria L., Goudreau, Paul N.·2000·Annual Review of Biochemistry

Abstract

▪ Abstract Most prokaryotic signal-transduction systems and a few eukaryotic pathways use phosphotransfer schemes involving two conserved components, a histidine protein kinase and a response regulator protein. The histidine protein kinase, which is regulated by environmental stimuli, autophosphorylates at a histidine residue, creating a high-energy phosphoryl group that is subsequently transferred to an aspartate residue in the response regulator protein. Phosphorylation induces a conformational change in the regulatory domain that results in activation of an associated domain that effects the response. The basic scheme is highly adaptable, and numerous variations have provided optimization within specific signaling systems. The domains of two-component proteins are modular and can be integrated into proteins and pathways in a variety of ways, but the core structures and activities are maintained. Thus detailed analyses of a relatively small number of representative proteins provide a foundation for understanding this large family of signaling proteins.

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Crossref · 10.1146/annurev.biochem.69.1.183

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Metadata

Authors
Stock, A. M., Robinson, V. L., & Goudreau, P. N.
Venue
Annual Review of Biochemistry
Published
2000-06
Volume
69
Issue
1
Pages
183-215
ISSN
  • 0066-4154 (ISSN-L)
  • 1545-4509
OpenAlex
W2108559568
Cited by
3,650
References
1
FWCI
12.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Two-Component Signal Transduction. https://app.cochat.ai/papers/10.1146/annurev.biochem.69.1.183
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Stock, A. M., Robinson, V. L., & Goudreau, P. N. (2000). Two-Component Signal Transduction. Annual Review of Biochemistry. https://doi.org/10.1146/annurev.biochem.69.1.183

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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.