Evidence map›Paper›PMID 26297553›Full record

ArticleCell communication and signaling : CCS2015

High-throughput methods for identification of protein-protein interactions involving short linear motifs.

Cecilia Blikstad, Ylva Ivarsson

Abstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Preparation of μSPOT Lactam-Cyclized Peptides for Ligand Optimization.Methods in molecular biology (Clifton, N.J.) · 2025
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  12. Peptide-based Interaction Proteomics.Molecular & cellular proteomics : MCP · 2020
    Review
  13. Screening Intrinsically Disordered Regions for Short Linear Binding Motifs.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  14. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Cecilia BlikstadDepartment of Chemistry - BMC, Husargatan 3, 751 23, Uppsala, Sweden.
Ylva IvarssonDepartment of Chemistry - BMC, Husargatan 3, 751 23, Uppsala, Sweden. Ylva.ivarsson@kemi.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between modular domains and short linear motifs (3-10 amino acids peptide stretches) are crucial for cell signaling. The motifs typically reside in the disordered regions of the proteome and the interactions are often transient, allowing for rapid changes in response to changing stimuli. The properties that make domain-motif interactions suitable for cell signaling also make them difficult to capture experimentally and they are therefore largely underrepresented in the known protein-protein interaction networks. Most of the knowledge on domain-motif interactions is derived from low-throughput studies, although there exist dedicated high-throughput methods for the identification of domain-motif interactions. The methods include arrays of peptides or proteins, display of peptides on phage or yeast, and yeast-two-hybrid experiments. We here provide a survey of scalable methods for domain-motif interaction profiling. These methods have frequently been applied to a limited number of ubiquitous domain families. It is now time to apply them to a broader set of peptide binding proteins, to provide a comprehensive picture of the linear motifs in the human proteome and to link them to their potential binding partners. Despite the plethora of methods, it is still a challenge for most approaches to identify interactions that rely on post-translational modification or context dependent or conditional interactions, suggesting directions for further method development.

Indexed as

Protein Interaction MapsAmino Acid MotifsHigh-Throughput Screening AssaysHumansPeptide LibraryPeptidesProtein Array AnalysisProtein BindingProtein Interaction Domains and MotifsProtein Interaction MappingProteinsProteomicsTwo-Hybrid System TechniquesPeptide LibraryPeptidesProteins

Identifiers

PMID26297553
PMCPMC4546347

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.