Sequence Analysis and Bioinformatics:
Characterization and interpretation of genomic data, including knowledge discovery and transfer in:
- nucleic acid and protein sequence analysis;
- pharmacogenomics: correlating variations in clinical response to drug therapy with genetic differences in individuals;
- data mining: identifying gene and regulatory motifs, protein family/superfamily relationships, and gene expression patterns.
Structural Informatics:
Development, application, and dissemination of analysis methodologies and software tools in computational structural biology, including:
- Algorithm development for low- and high-resolution protein structural models and their comparison;
- Molecular visualization for structural analysis and the integration of sequence and tertiary structural information;
- Facilitating collaborative research, especially with distant scientists, through use of high-performance network technology.
Functional Informatics:
Theoretical and applied research in understanding how protein structures deliver function, including:
- Identification and characterization of protein superfamilies;
- Generation of new computationally-based representations of protein chemistry;
- Development of structurally contextual definitions of protein function.
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