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The identification of short linear motif-mediated interfaces within the human interactome
Motivation: Eukaryotic proteins are highly modular, containing multiple interaction interfaces that mediate binding to a network of regulators and effectors. Recent advances in high-throughput proteomics have rapidly expanded the number of known protein–protein interactions (PPIs); however, the mole...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315716/ https://www.ncbi.nlm.nih.gov/pubmed/22328783 http://dx.doi.org/10.1093/bioinformatics/bts072 |
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author | Weatheritt, R. J. Luck, K. Petsalaki, E. Davey, N. E. Gibson, T. J. |
author_facet | Weatheritt, R. J. Luck, K. Petsalaki, E. Davey, N. E. Gibson, T. J. |
author_sort | Weatheritt, R. J. |
collection | PubMed |
description | Motivation: Eukaryotic proteins are highly modular, containing multiple interaction interfaces that mediate binding to a network of regulators and effectors. Recent advances in high-throughput proteomics have rapidly expanded the number of known protein–protein interactions (PPIs); however, the molecular basis for the majority of these interactions remains to be elucidated. There has been a growing appreciation of the importance of a subset of these PPIs, namely those mediated by short linear motifs (SLiMs), particularly the canonical and ubiquitous SH2, SH3 and PDZ domain-binding motifs. However, these motif classes represent only a small fraction of known SLiMs and outside these examples little effort has been made, either bioinformatically or experimentally, to discover the full complement of motif instances. Results: In this article, interaction data are analysed to identify and characterize an important subset of PPIs, those involving SLiMs binding to globular domains. To do this, we introduce iELM, a method to identify interactions mediated by SLiMs and add molecular details of the interaction interfaces to both interacting proteins. The method identifies SLiM-mediated interfaces from PPI data by searching for known SLiM–domain pairs. This approach was applied to the human interactome to identify a set of high-confidence putative SLiM-mediated PPIs. Availability: iELM is freely available at http://elmint.embl.de Contact: toby.gibson@embl.de Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3315716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33157162012-03-30 The identification of short linear motif-mediated interfaces within the human interactome Weatheritt, R. J. Luck, K. Petsalaki, E. Davey, N. E. Gibson, T. J. Bioinformatics Original Papers Motivation: Eukaryotic proteins are highly modular, containing multiple interaction interfaces that mediate binding to a network of regulators and effectors. Recent advances in high-throughput proteomics have rapidly expanded the number of known protein–protein interactions (PPIs); however, the molecular basis for the majority of these interactions remains to be elucidated. There has been a growing appreciation of the importance of a subset of these PPIs, namely those mediated by short linear motifs (SLiMs), particularly the canonical and ubiquitous SH2, SH3 and PDZ domain-binding motifs. However, these motif classes represent only a small fraction of known SLiMs and outside these examples little effort has been made, either bioinformatically or experimentally, to discover the full complement of motif instances. Results: In this article, interaction data are analysed to identify and characterize an important subset of PPIs, those involving SLiMs binding to globular domains. To do this, we introduce iELM, a method to identify interactions mediated by SLiMs and add molecular details of the interaction interfaces to both interacting proteins. The method identifies SLiM-mediated interfaces from PPI data by searching for known SLiM–domain pairs. This approach was applied to the human interactome to identify a set of high-confidence putative SLiM-mediated PPIs. Availability: iELM is freely available at http://elmint.embl.de Contact: toby.gibson@embl.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-04-01 2012-02-10 /pmc/articles/PMC3315716/ /pubmed/22328783 http://dx.doi.org/10.1093/bioinformatics/bts072 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Weatheritt, R. J. Luck, K. Petsalaki, E. Davey, N. E. Gibson, T. J. The identification of short linear motif-mediated interfaces within the human interactome |
title | The identification of short linear motif-mediated interfaces within the human interactome |
title_full | The identification of short linear motif-mediated interfaces within the human interactome |
title_fullStr | The identification of short linear motif-mediated interfaces within the human interactome |
title_full_unstemmed | The identification of short linear motif-mediated interfaces within the human interactome |
title_short | The identification of short linear motif-mediated interfaces within the human interactome |
title_sort | identification of short linear motif-mediated interfaces within the human interactome |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315716/ https://www.ncbi.nlm.nih.gov/pubmed/22328783 http://dx.doi.org/10.1093/bioinformatics/bts072 |
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