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Related Concept Videos

Protein Kinases and Phosphatases02:54

Protein Kinases and Phosphatases

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Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
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Identification of Kinase-substrate Pairs Using High Throughput Screening
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Benchmarking EGF signaling pathway inference using phosphoproteomics and kinase-substrate interactions.

Martin Garrido-Rodriguez1,2,3,4, Clement Potel1, Mira Lea Burtscher1

  • 1Molecular Systems Biology unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.

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|February 25, 2026
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Summary

This study revisits classic signaling pathways using phosphoproteomics and kinase-substrate data. We discovered many unexplored interactions, highlighting limitations in current pathway views and suggesting new research hypotheses.

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Classic biochemistry methods limit signaling pathway interpretation.
  • Advancements in phosphoproteomics and kinase-substrate interaction data offer new approaches.
  • Revisiting signaling pathways is crucial for understanding complex biological processes.

Purpose of the Study:

  • To infer context-specific signaling pathways using phosphoproteomics and kinase-substrate networks.
  • To comprehensively characterize the epidermal growth factor (EGF) response.
  • To identify unexplored interactions within signaling pathways.

Main Methods:

  • Meta-analysis of EGF response data.
  • Generation of comprehensive EGF response datasets.
  • Inference and comparison of kinase-kinase pathways against ground truth sets.
  • Evaluation of network propagation methods.

Main Results:

  • Literature-curated networks showed the highest recovery of ground-truth interactions.
  • Network propagation methods provided modest gains in interaction recovery.
  • Up to 90% of inferred interactions were not present in existing ground truth sets.
  • Significant unexplored interactions are supported by available data.

Conclusions:

  • Traditional views on signaling pathways are limited.
  • Phosphoproteomics and network analysis reveal numerous unexplored interactions.
  • This study provides opportunities for generating novel mechanistic hypotheses in cell signaling.