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Kannan Lab Research Overview

BMB Aug 25,2013
by

Natarajan Kannan

on 9 September 2015

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Transcript of Kannan Lab Research Overview

Evolutionary
Systems
Biology
Group
http://esbg.bmb.uga.edu
"Nothing in biology makes sense
except in the light of evolution."
The Lab
The
Kannan Lab
Research Overview

Computational
Experimental
Interdisciplinary
Group
Sequence analysis
Statistical modeling
Structure modeling
Molecular dynamics
Molecular Biology
Biochemistry
Biophysical
Projects
Our model system:
The protein kinase family (kinome)
Over 500 kinases in the human genome
Over 250,000 from diverse organisms
More than 40% of the cellular
processes are controlled by protein
phosphorylation
Cancer, Alzheimers, diabetes
Infectious diseases
Major targets for drug development
Cancer
Sequencing the cancer kinomes
Recent publications
Evolution
-Theodosius Dobzhansky (1900-1975)
Structural and functional diversity of the microbial kinome (2007)
Human Kinome
Key questions
Pathogens
Rationale:
Protein kinases in pathogens (apicomplexans) have evolved differently from those in their hosts.

If a conserved feature appears in the parasite but not its host, we may be able to selectively target the pathogen for drug development
Eric Talevich
(Former Grad. Student)
Currently post-doc at UCSF
Funding
Techniques
Techniques
Sequence data
Biology
Biomedical relevance and impact
Discovery of the
The Microbial Kinome
Jan (2013)
June 5, 2013
How did complexity in signaling systems evolve?

Can you use the evolutionary information encoded in genome sequences to decode signaling mechanisms?
Nov2, 2011
What we do..

1. Quantify the similarities
and differences between
parasite and host kinases using statistical methods

2. Correlate sequence variation with functional/mechanistic variation


What we do...

1. Mine cancer genomes to predict driver mutations

2. Test the functional impact of mutations using cell based assays

3. Make our findings available through
cancer resources/ontologies
Full transcript