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Protein Informatics Group
The Protein Informatics Group currently consists
of a collaboration between researchers at the Oak Ridge National
Laboratory, the University of Missouri, and the University of Georgia.
Our common interests are in development of
computational tools for solving problems from molecular biology. Our
work ranges from construction of mathematical/statistical models to
development of algorithms to code implementation on various platforms
to applications of computational tools to solve various bio-data
analysis
problems. Our current R&D activities focus on the following four areas:
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Protein Structure Prediction and Modeling: We are interested in
developing effective computational methods for protein fold recognition,
protein structure prediction and modeling, and protein complex
prediction;
and applying these tools to solve real structural biology problems. One
of our key techniques is protein threading.
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Hybrid Methods for Protein Structure Determination: We are
interested in developing hybrid techniques, taking advantage of the
strengths of computational techniques and high-throughput experimental
data, in support of high-throughput protein structure determination. We
are particularly interested in utilizing sparse NMR data.
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Gene Expression Data Analysis and Biological Pathway Construction:
We are interested in developing novel computational techniques for
information extraction from large-scale gene expression data and
applying
them to biological pathway studies. We are currently focusing our
studies
on microbes and plants.
Computational Methods for Mass Spectrometry Data Analysis: We
are interested in developing highly effective computational methods for
identification of proteins and protein-protein interactions through
analyzing mass spectrometry data and chemical cross-linking data.
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