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Updated: Aug 9, 2025

Identification of Kinase-substrate Pairs Using High Throughput Screening

Identification of Kinase-substrate Pairs Using High Throughput Screening

Published on: August 29, 2015

KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units.

Tolulope Adeyelu^1,2, Nicola Bordin¹, Vaishali P Waman¹

¹Institute of Structural and Molecular Biology, University College London, London WC1E 6BT, UK.

|February 25, 2023

Summary

This summary is machine-generated.

We developed a new method to functionally classify protein kinases, identifying 28 druggable human kinase families. This classification aids in discovering new therapeutic targets for human diseases.

Keywords:

KinBase classification KinFams functional families protein kinases

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Last Updated: Aug 9, 2025

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Area of Science:

Biochemistry
Bioinformatics
Structural Biology

Background:

Protein kinases are crucial drug targets, second only to G-protein coupled receptors.
Existing classifications primarily focus on evolutionary relationships, lacking functional coherence.

Purpose of the Study:

To develop a systematic classification of protein kinase functional families (FunFams).
To identify druggable kinase families for therapeutic target discovery.

Main Methods:

Utilized the FunFam-MARC protocol, integrating multi-domain architectures and specificity-determining residues.
Classified kinase sequences from over 10,000 organisms into 2210 kinase functional families (KinFams).

Main Results:

The FunFam-MARC classification demonstrates higher functional coherence (EC annotations) than existing methods like KinBase.
Identified 28 druggable human KinFams enriched with clinically approved drugs.
Provided 3D structures and conserved residue information for KinFams.

Conclusions:

The FunFam-MARC protocol offers a comprehensive and functionally coherent classification of protein kinases.
Druggable KinFams represent promising candidates for developing new therapeutics.
The associated data resources facilitate further research in kinase-targeted drug discovery.