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Adam Godzik, PhD
The Burnham Institute, La Jolla, California
-and-
Joint Center for Structural Genomics, UCSD
www.jcsg.org/bic.html
Bioinformatics Challenges of Structural Genomics
JCSG is a joint project between UCSD, TSRI and SLAC to develop
a high throughput crystallography pipeline. While the engineering
goal is to change the way structure determination is done, the scientific
goal of the project is to identify and solve structures of a representative
set of C. elegans and human proteins involved in signal transduction.
Experimental components of JCSG are located at TSRI and SLAC and they
focus on a complete automation and robotization of all steps leading
from identifying a target protein to solving a crystal structure,
such as cloning, expression, purification, crystallization, data collection
and structure determination. At the same time, the bioinformatics
component of JCSG, located at SDSC, faces its own challenges in providing
a unified data management structure to the distributed experimental
protocol as well as developing tools for large scale, automated pre-
and post-structure determination analysis.
An automated protocol to annotate large groups of proteins with predicted
structural and functional information, developed at on the basis of
a profile-profile fold recognition algorithm FFAS, enhanced by several
other tools for modeling, alignment and structure visualization, assists
in target selection, structure refinement and provides input for automated
structure annotation. A unique tracking database automatically updates
itself to provide public view on the progress in structure determination
for all targets, and also doubles as a main data depository and internal
analysis tools for JCSG.
With first structures already solved and hundreds more in the advanced
stages in the pipeline, JCSG is moving towards redefining the way
the protein structures are determined.
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