Greg Bowman

The Bowman lab seeks to understand how protein dynamics gives rise to functional processes like allosteric communication between distant sites, and to exploit our insight into this shape-shifting to design new drugs and proteins. Examples of current applications include 1) understanding how mutations allosterically impact distant sites to confer bacteria with antibiotic resistance, 2) identifying ‘cryptic’ pockets that are absent in available structures, and 3) designing allosteric inhibitors of the Ebola virus that bind cryptic pockets. To achieve these ends, we combine biophysical experiments, physics-based simulations, and machine learning. We also run a worldwide distributed computing platform called Folding@home.