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Identification of Kinase-substrate Pairs Using High Throughput Screening
Published on: August 29, 2015
A framework for classification of prokaryotic protein kinases
Nidhi Tyagi1, Krishanpal Anamika, Narayanaswamy Srinivasan
1Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India. ns@mbu.iisc.ernet.in
Plos One
|June 4, 2010
Summary
A new classification framework for prokaryotic Serine/Threonine protein kinases has been developed, revealing taxonomic-specific subfamilies. This advances understanding of microbial signaling pathways and protein kinase diversity.
Area of Science:
- Microbiology
- Biochemistry
- Bioinformatics
Background:
- The established Hanks and Hunter classification for protein kinases is based on eukaryotes and poorly classifies prokaryotic Serine/Threonine (Ser/Thr) kinases.
- Most identified prokaryotic Ser/Thr kinases do not fit into existing eukaryotic-based subfamilies due to significant divergence.
Purpose of the Study:
- To develop a novel classification framework for prokaryotic Ser/Thr protein kinases.
- To analyze the taxonomic distribution and organizational complexity of prokaryotic Ser/Thr kinases.
Main Methods:
- Utilized traditional sequence alignment and phylogenetic approaches.
- Clustered a large dataset of prokaryotic kinases into subfamilies with at least four members.
- Performed comprehensive database searches to identify taxonomic associations.
Main Results:
- Identified 72 distinct subfamilies of prokaryotic Ser/Thr kinases.
- Discovered that 38 subfamilies are specific to particular taxonomic levels (phylum, order, class, family, genus).
- Found organism-diverse subfamilies including archaea, bacteria, eukaryotes, and viruses.
Conclusions:
- The taxonomic specificity of prokaryotic kinase subfamilies contrasts sharply with the diverse distribution of eukaryotic kinase subfamilies.
- Prokaryotic Ser/Thr kinases display complex modular organization, suggesting intricate signaling pathways and protein-protein interactions in microbes.
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