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Surface comparison of active and inactive protein kinases identifies a conserved activation mechanism

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Kornev, Alexandr P., Haste, Nina M., Taylor, Susan S., Ten Eyck, Lynn F.·2006·Proceedings of the National Academy of Sciences

Abstract

The surface comparison of different serine–threonine and tyrosine kinases reveals a set of 30 residues whose spatial positions are highly conserved. The comparison between active and inactive conformations identified the residues whose positions are the most sensitive to activation. Based on these results, we propose a model of protein kinase activation. This model explains how the presence of a phosphate group in the activation loop determines the position of the catalytically important aspartate in the Asp-Phe-Gly motif. According to the model, the most important feature of the activation is a “spine” formation that is dynamically assembled in all active kinases. The spine is comprised of four hydrophobic residues that we detected in a set of 23 eukaryotic and prokaryotic kinases. It spans the molecule and plays a coordinating role in activated kinases. The spine is disordered in the inactive kinases and can explain how stabilization of the whole molecule is achieved upon phosphorylation.

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Metadata

Authors
Kornev, A. P., Haste, N. M., Taylor, S. S., & Ten Eyck, L. F.
Venue
Proceedings of the National Academy of Sciences
Published
2006-11-21
Volume
103
Issue
47
Pages
17783-17788
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2000390423
Cited by
762
References
0
FWCI
6.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Surface comparison of active and inactive protein kinases identifies a conserved activation mechanism. https://app.cochat.ai/papers/10.1073/pnas.0607656103
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Kornev, A. P., Haste, N. M., Taylor, S. S., & Ten Eyck, L. F. (2006). Surface comparison of active and inactive protein kinases identifies a conserved activation mechanism. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0607656103

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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.