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Colloquium - Goldberg

Protein Interactions: Evolution, Modules, and the Impact of Flexibility
Department of Computer Science

Understanding how proteins function individually and together with other molecules is critical for discovering mechanisms of disease and finding new drug targets, and is essential if we hope to gain a systems-level understanding of any organism. Building upon previous work on how interactions between proteins evolve, I will present improved methods for computing network measures and evaluating evolutionary models of protein interaction networks. I will also describe unexpectedly large highly-connected subgraphs of the protein interaction networks of yeast and human proteins, and what they may mean. As motivated by obstacles in protein design, I will outline current work on predicting flexible regions within proteins. I will conclude with an overview of the work I've done in education research and new curriculum development.

Debra Goldberg is an assistant professor in the Department of Computer Science at the University of Colorado Boulder. Her primary research interests are in graph theory, combinatorial algorithms, and genomics. Her recent research includes discovering biological meaning in noisy gene and protein networks, binding properties of proteins, and social network analysis. She received her BS in biology from Yale University, an MS in computer science from the University of Denver, and a PhD in applied math from Cornell University. Before her appointment at the University of Colorado, she was a postdoc at Harvard Medical School.

Hosted by James Martin.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)