We are interested in computational studies of protein folding and dynamics, and particularly in the information about protein physics which is available through bioinformatic studies. We have developed a series of novel approaches to protein biophysics based on ideas from information theory and signal processing. In recent work we developed the first bioinformatic representation of protein dynamics, and are currently using this tool, in combination with earlier studies of the static physical properties of amino acid sequences, to elucidate basic mechanisms of protein folding. We have extended our studies to encompass intrinsically disordered proteins, and are using the sequences of those proteins as an added resource in the study of folding and stability in proteins.
In earlier work, we have applied novel bioinformatic methods to the comparison of protein sequences and protein structures, and used the resulting data to address problems at the foundations of bioinformatics. These studies are still ongoing in our group.