Our scientists are using computation to master the immense quantity of information needed to understand and design proteins, which are responsible for biological function and form. And, they are using computation and other skills to create models of biological systems that describe critical aspects of normal function and how these change with disease.
The computational biologists in our department are concerned with the folding, function, evolution, and design of proteins. They are developing and applying computational methods for prediction of protein structure and function, for mapping evolution of protein sequences and their functions, and for designing proteins with desired structure and function. In collaboration with others, these methods facilitate the study of individual biological systems, drug discovery, pharmacogenomics and pharmaceutical sciences, systems biology, and synthetic biology. Our systems biologists study the mechanisms underlying complex biological processes as integrated systems of many, diverse, interacting components. They combine mathematical modeling and quantitative experiments to elucidate the design principles of complex biological systems and to predict their function and behavior. As such, systems biology has wide applications in the diagnosis and treatment of complex diseases, the design of new-generation drugs, and in future therapeutics. Our research in these areas includes the:
- Quantitative study and modeling of biomolecular networks
- Design and engineering of new pathways
- Study of the evolution of protein interactions and pathways
- Mathematical and computational analysis of complex biological systems
- Modeling of complex diseases
- Quantitative study of physiological systems
- Systems-level study of drug response, metabolic networks, and synthetic biology.
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