We use computational design coupled with experimental characterization to systematically investigate the design principles for macrocycle membrane permeability and oral…Cell
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.
The previously reported Q is a thermoresponsive coiled-coil protein capable of higher-order supramolecular assembly into fibers and hydrogels with upper…Molecular Systems Design and Engineering
For the past half-century, structural biologists relied on the notion that similar protein sequences give rise to similar structures and…bioRxiv
Julia Koehler Leman joined the Simons Foundation in 2016 as a member of Richard Bonneau’s lab. She was previously a postdoctoral fellow in the chemical and biomolecular engineering department at Johns Hopkins University. There, she developed applications in the Rosetta software suite for biomolecular modeling,…
Douglas Renfrew came to the Simons Foundation in 2014 to work on bioinformatics and protein structure determination with the Systems Biology group at the Center for Computational Biology. Before joining the foundation, Renfrew was a postdoctoral researcher at New York University, where he focused on…