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Faculty
in the Department of Computational Biology integrate disciplines
such as biological, biomedical, computational, physical, mathematical
and engineering sciences to formulate and solve critical biological
problems.
Faculty research areas include:
- Bioinformatics
- Cellular and Systems Biology
- Genomics and Proteomics
- Molecular Structural Biology
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Featured Publications:
Bahar, I., Chennubhotla, C. and D. Tobi (2007) "Intrinsic Enzyme Motions in the Unbound State and Relation to Allosteric Regulation" Current Opinion Structural Biology, 17, 633–640 (PDF)
Bin W. Zhang, David Jasnow, and Daniel M. Zuckerman (2007) Efficient and verified simulation of a path ensemble for conformational change in a united-residue model of calmodulin, Proc. Nat. Acad. Sci. USA 104:18043-18048.
(PDF)
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Featured Publications Archive
Other Recent Publications |
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The
research, development, or application of computational
tools and approaches for expanding the use of biological,
medical, behavorial or health data, including those
to acquire, store, organize, archive, analyze,
or visualize such data (NIH working defintion).
Projects include genome annotation, genome assembly,
computational evolutionary biology, sequence analysis,
sequence alignment, and protein structure alignment. |
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Systems
biology seeks to integrate different levels of
information to understand how biological systems
function, with a goal of developing an understandable
model of the whole system. This is accomplished
by studying the relationships and interactions
between various parts of the system. Examples of
such systems are: cell signaling networks, metabolic
pathways, organelles, cells, physiological systems,
and organisms. |
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Genomics
is the study of an organism’s genome. There are
three main categories in genomics: functional genomics,
structural genomics, and comparative genomics. Functional
genomics generally refers to the high throughput determination
of gene functions. Structural genomics is the systematic
effort to gain a complete structural description of
a defined set of molecules, ultimately for an organism’s
entire proteome. Comparative genomics uses evolutionary
relationships between various organisms to understand
the structure and function of the genome.
Proteomics aims at quantifying the expression levels
of the complete protein complement (the proteome) in
a cell at any given time. While proteomics research was
initially focused on two-dimensional gel electrophoresis
for protein separation and identification, proteomics
now refers to any procedure that characterizes the function
of large sets of proteins. Proteomics may be considered
as a subset of functional genomics. |
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Structural
biology is defined as the study of the architecture
and shape of biological macromolecules. Macromolecules
such as proteins and nucleic acids carry out most
of the functions of a cell. For the most part,
they are able to perform these functions by coiling
into a specific three-dimensional shape or native
structure. Structural biology is concerned with
the driving forces and interactions that determine
the structure and dynamics of biomolecules.
Computational structural biology aims at establishing
sequence-structure-function relations using fundamental
principles of physical sciences in theoretical models
and simulations of structure and dynamics. |
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