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Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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Related Experiment Video

Updated: May 15, 2026

Identification of Kinase-substrate Pairs Using High Throughput Screening

Identification of Kinase-substrate Pairs Using High Throughput Screening

Published on: August 29, 2015

Using bacteria to determine protein kinase specificity and predict target substrates.

Michael F Chou¹, Sladjana Prisic, Joshua M Lubner

¹Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.

|January 10, 2013

Summary

Discovering protein kinase targets is crucial for understanding cell signaling. The ProPeL method uses bacterial proteomes for easy and accurate kinase specificity motif discovery, advancing signal transduction research.

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Last Updated: May 15, 2026

Identification of Kinase-substrate Pairs Using High Throughput Screening

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Published on: August 29, 2015

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Published on: June 30, 2019

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Published on: May 26, 2017

Area of Science:

Biochemistry
Molecular Biology
Cell Signaling

Background:

Identifying protein kinase targets is essential for understanding cellular signal transduction in health and disease.
Current methods for elucidating kinase specificity motifs, such as combinatorial peptide libraries, have limitations.

Purpose of the Study:

To present and validate the ProPeL (Protein Proteome Library) method for efficient discovery of kinase specificity motifs.
To demonstrate the utility of native bacterial proteomes as in vivo libraries for simultaneous phosphorylation reactions.

Main Methods:

Utilized recombinant kinases expressed in E. coli.
Employed mass spectrometry to analyze phosphorylation events on bacterial proteomes.
Applied the ProPeL method to identify kinase specificity motifs.

Main Results:

The ProPeL method accurately identified known motif preferences for human basophilic (Protein Kinase A) and acidophilic (Casein Kinase II) kinases.
Motifs derived from bacterial data successfully predicted human phosphorylation sites with high confidence using scan-x software.

Conclusions:

The ProPeL method offers an easy and accurate approach for discovering kinase specificity motifs.
This method leverages native bacterial proteomes as a powerful resource for studying kinase-substrate interactions and advancing signal transduction research.