Last Update January 2009
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- Structural bioinformatics:
- Structure databases
- Structure prediction
- Structural genomics
- Protein-protein &
- Protein dynamics
- Information technologies:
- Data modeling, ontologies and query languages
- High performance
computing as applied to genomics and proteomics
- Multimedia publishing
- Biological systems studied:
- Cell signaling
- B and T cell receptors
- Off-target and repositioning of major pharmaceuticals
- Improving access and
usability of biological data, standards and methods associated with
- Mapping protein fold
space, automated classification of proteins according to sequence
structure and function.
- High throughput proteomics
to provide putative structural and functional annotation for use in
- Standards development develop
new ontologies, expand existing ontologies, provide benchmark data.
- Protein structure
prediction aided by deuterium exchange mass spectrometry.
- Evolution studied
through protein fold, domain, family and superfamily
relationships in protein kinases.
- Functionally flexible
regions in protein families.
- Prediction of sites of
protein interaction and the complexes themselves.
- Development of reusable
dissemination of science
- The RCSB Protein Data Bank
(PDB) is in many ways the production arm
of our research efforts.
- The Immune Epitope Database (IEDB)
- Mapping protein fold space
- Comparing the 3D structures of proteins is non-trivial. We have
developed algorithms for pairwise and multiple structure
- Protein domain assignment and
classification, in 3-D,
- SciVee (SciVee)–
integration of video and sound content with original publications.
integration of literature and database content.
- Representing data on
protein families -. The Apoptosis
Database characterizes domains known to be involved in apoptosis.
- The molecular biology
is a toolkit for the Web delivery of high quality visuals of biological
data, most notably macromolecular structure and uses Java3D.