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Common structural features of mapeg—a widespread superfamily of membrane associated proteins with highly divergent functions in eicosanoid and glutathione metabolism

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Jakobsson, Per‐Johan, Morgenstern, Ralf, Mancini, Joseph, Ford‐Hutchinson, Anthony, Persson, Bengt·1999·Protein Science

Abstract

A novel superfamily designated MAPEG (Membrane Associated Proteins in Eicosanoid and Glutathione metabolism), including members of widespread origin with diversified biological functions is defined according to enzymatic activities, sequence motifs, and structural properties. Two of the members are crucial for leukotriene biosynthesis, and three are cytoprotective exhibiting glutathione S‐transferase and peroxidase activities. Expression of the most recently recognized member is strongly induced by p53, and may therefore play a role in apoptosis or cancer development. In spite of the different biological functions, all six proteins demonstrate common structural characteristics typical of membrane proteins. In addition, homologues are identified in plants, fungi, and bacteria, demonstrating this superfamily to be generally occurring.

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Metadata

Authors
Jakobsson, P., Morgenstern, R., Mancini, J., Ford‐Hutchinson, A., & Persson, B.
Venue
Protein Science
Publisher
Wiley
Published
1999-01
Volume
8
Issue
3
Pages
689-692
ISSN
  • 0961-8368 (ISSN-L)
  • 1469-896X
OpenAlex
W2152582781
Cited by
365
References
0
FWCI
7.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Common structural features of mapeg—a widespread superfamily of membrane associated proteins with highly divergent functions in eicosanoid and glutathione metabolism. https://app.cochat.ai/papers/10.1110/ps.8.3.689
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Jakobsson, P., Morgenstern, R., Mancini, J., Ford‐Hutchinson, A., & Persson, B. (1999). Common structural features of mapeg—a widespread superfamily of membrane associated proteins with highly divergent functions in eicosanoid and glutathione metabolism. Protein Science. https://doi.org/10.1110/ps.8.3.689

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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.