Current projects deal with:

  1. Discovering the function of SG proteins expressed from the genome that are currently of unknown function;
  2. Exploring the multilayer nature of enzyme active sites;
  3. Using THEMATICS for the analysis of specific enzymes of biological and medical importance;
  4. Development and application of novel machine learning (ML) methodologies in order to utilize THEMATICS and other bioinformatics tools to identify protein interaction sites. We are working in partnership with the Institute for Complex Scientific Software (ICSS) at Northeastern University on the novel ML methodologies. We are also working in collaboration with experimentalists to test and verify our predictions pertaining to multilayer active sites and also to test our predicted functional annotations of Structural Genomics proteins.

Figure 1. Functionally important residues predicted in and around the active site of PNGase F.

Figure 2. Active site residues and corresponding theoretical titration curves in Arginine Kinase.