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Center for Systems Biology

Location :Duke Institute for Genome Sciences and Policy, Durham, North Carolina, USA.

PageRank  out of 10


The IGSP Center for Systems Biology (CSB) was established to characterize and understand the dynamics of biological networks, including both the dynamics of network statesóchanges in concentrations of molecular species as different portions of a network are utilizedóand the dynamics of network structuresóchanges in the components or interactions of a network as genetic mutations accrue through evolution. The CSB builds upon the close working relationships between computational and experimental scientists across the Schools of Arts & Sciences, Engineering, and Medicine, all nestled together on Duke s ive neo-Gothic campus. Among other activities, the CSB funds research projects that advance the Center s mission. Currently supported projects study network dynamics at three different time scales:

  • the cell cycle in yeast and human cells, with a scale of minutes to hours
  • development in plant roots and sea urchin embryos, with a scale of hours to weeks
  • and network evolution in yeast and sea urchins, with a scale of millions of years

Because we are studying networks across different organisms, biological processes, and time scales, we have a unique opportunity to identify commonalities and differences in the network dynamics of biological systems.

The CSB is also committed to creating an academic space that fosters inquiry, intellectual exchange, and effective interdisciplinary education and communication. We are a community of faculty, researchers, and students that spans departments of Biology, Biomedical Engineering, Computer Science, Mathematics, Medicine, Physics, and Statistical Science to enable a breadth of modeling approaches to be considered across a range of biological problems. Consistent with this aim, and encouraged by Duke s explicit commitment to collaborative interdisciplinary research, CSB projects involve direct collaboration both experimental and computational faculty and students in order to provide quantitative insights into network dynamics, a fundamental problem in systems biology.