Systems Biology

At the Systems Biology group, we are developing new methods to learn the networks that run life’s program.

Key aims include developing new methods to annotate genes (characterize the parts list for biology) and building new methods that learn biological networks, and eventually dynamic models (put the parts together). These network models will help us to predict the functional effect of genetic variation, design interventions and therapies, and understand how living systems respond to changes in their environment.

Research Highlights

Discovery of peptide ligands through docking and virtual screening at nicotinic acetylcholine receptor homology models

A Leffler, A Kuryatov, H Zebroski, S Powell, P Filipenko, A Hussein, J Gorson, A Heizmann, S Lyskov, R. W. Tsien, S Poget, A Nicke, J Lindstrom, B Rudy, R. Bonneau, M Holford

Venom peptide toxins such as conotoxins play a critical role in the characterization of nicotinic acetylcholine receptor (nAChR) structure and…

Proceedings of the National Academy of Sciences of the United States of America

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