At the Sönmez Systems Biology lab, we study a variety of problems in computational biology, ranging from the molecular level to the study of entire networks of interacting components.
At the lowest level, we are working on new methods of designing peptides for nanotechnology and medical applications using statistical sequence analysis.
At a larger scale, we are trying to predict interactions between peptide hormones and their receptors.
Finally, we attempt to integrate that data into models of larger systems and use network analysis and other tools from systems biology to make predictions based on those models. The image at the top of this page is a portion of a network model linking human known to have a genetic component by their associations within the genome.