Proteins are the molecular machines that make cells work. They perform a wide variety of functions through interactions with each other and many additional molecules. Traditionally, proteins are described in a single static state (a picture). It is now increasingly recognised that many proteins can adopt multiple states and move between these conformational states dynamically (a movie).
We investigate how the dynamics, conformational states and available experimental data of proteins relates to their amino acid sequence. We unravel underlying physical and chemical principles with statistics and informatics, and connect them to biological events, so improving our understanding of the way proteins work.