Emerging concepts in pseudoenzyme classification, evolution, and signaling.


Journal

Science signaling
ISSN: 1937-9145
Titre abrégé: Sci Signal
Pays: United States
ID NLM: 101465400

Informations de publication

Date de publication:
13 08 2019
Historique:
entrez: 15 8 2019
pubmed: 15 8 2019
medline: 15 8 2020
Statut: epublish

Résumé

The 21st century is witnessing an explosive surge in our understanding of pseudoenzyme-driven regulatory mechanisms in biology. Pseudoenzymes are proteins that have sequence homology with enzyme families but that are proven or predicted to lack enzyme activity due to mutations in otherwise conserved catalytic amino acids. The best-studied pseudoenzymes are pseudokinases, although examples from other families are emerging at a rapid rate as experimental approaches catch up with an avalanche of freely available informatics data. Kingdom-wide analysis in prokaryotes, archaea and eukaryotes reveals that between 5 and 10% of proteins that make up enzyme families are pseudoenzymes, with notable expansions and contractions seemingly associated with specific signaling niches. Pseudoenzymes can allosterically activate canonical enzymes, act as scaffolds to control assembly of signaling complexes and their localization, serve as molecular switches, or regulate signaling networks through substrate or enzyme sequestration. Molecular analysis of pseudoenzymes is rapidly advancing knowledge of how they perform noncatalytic functions and is enabling the discovery of unexpected, and previously unappreciated, functions of their intensively studied enzyme counterparts. Notably, upon further examination, some pseudoenzymes have previously unknown enzymatic activities that could not have been predicted a priori. Pseudoenzymes can be targeted and manipulated by small molecules and therefore represent new therapeutic targets (or anti-targets, where intervention should be avoided) in various diseases. In this review, which brings together broad bioinformatics and cell signaling approaches in the field, we highlight a selection of findings relevant to a contemporary understanding of pseudoenzyme-based biology.

Identifiants

pubmed: 31409758
pii: 12/594/eaat9797
doi: 10.1126/scisignal.aat9797
pii:
doi:

Substances chimiques

Enzymes 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Wellcome Trust
ID : 200523/Z/16/Z
Pays : United Kingdom

Informations de copyright

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Auteurs

António J M Ribeiro (AJM)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Sayoni Das (S)

Structural and Molecular Biology, University College London, Gower Street, London WC1E 6BT, UK.

Natalie Dawson (N)

Structural and Molecular Biology, University College London, Gower Street, London WC1E 6BT, UK.

Rossana Zaru (R)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Sandra Orchard (S)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Janet M Thornton (JM)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Christine Orengo (C)

Structural and Molecular Biology, University College London, Gower Street, London WC1E 6BT, UK.

Elton Zeqiraj (E)

Astbury Centre for Structural Molecular Biology, Molecular and Cellular Biology, Faculty of Biological Sciences, Astbury Building, Room 8.109, University of Leeds, Leeds LS2 9JT, UK.

James M Murphy (JM)

Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3052, Australia.
Department of Medical Biology, University of Melbourne, Parkville, Victoria 3052, Australia.

Patrick A Eyers (PA)

Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK. patrick.eyers@liverpool.ac.uk.

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Classifications MeSH