Scientific article
Open access

Systematic identification of phosphorylation-mediated protein interaction switches

Published inPLOS Computational Biology, vol. 13, no. 3, e1005462
Publication date2017

Proteomics techniques can identify thousands of phosphorylation sites in a single experiment, the majority of which are new and lack precise information about function or molecular mechanism. Here we present a fast method to predict potential phosphorylation switches by mapping phosphorylation sites to protein-protein interactions of known structure and analysing the properties of the protein interface. We predict 1024 sites that could potentially enable or disable particular interactions. We tested a selection of these switches and showed that phosphomimetic mutations indeed affect interactions. We estimate that there are likely thousands of phosphorylation mediated switches yet to be uncovered, even among existing phosphorylation datasets. The results suggest that phosphorylation sites on globular, as distinct from disordered, parts of the proteome frequently function as switches, which might be one of the ancient roles for kinase phosphorylation.

  • Phosphorylation
  • Protein interactions
  • Sequence alignment
  • Protein structure
  • Glutamate
  • Protein structure comparison
  • Protein structure prediction
  • Forecasting
Affiliation Not a UNIGE publication
  • Autre - NIH/NHGRI grants (HG004233 and HG001715)
  • European Commission - A systems biology approach to dissect cilia function and its disruption in human genetic disease [241955]
Citation (ISO format)
BETTS, Matthew J et al. Systematic identification of phosphorylation-mediated protein interaction switches. In: PLOS Computational Biology, 2017, vol. 13, n° 3, p. e1005462. doi: 10.1371/journal.pcbi.1005462
Main files (1)
Article (Published version)
ISSN of the journal1553-734X

Technical informations

Creation10/14/2019 1:13:00 PM
First validation10/14/2019 1:13:00 PM
Update time03/15/2023 6:10:53 PM
Status update03/15/2023 6:10:53 PM
Last indexation02/12/2024 11:43:47 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack