Identification of
key binding cavity features defining specificity in human
sulfotransferases
This project will use
an in silico (computer software) approach toward defining key components
of the binding cavity of sulfotransferase enzymes with the goal of
identifying features common to multiple sulfotransferases and features
unique to specific sulfotransferases. Identification of these features
will allow generation and testing of multiple hypotheses on
sulfotransferase mechanism and function. Software available in the
Bioinformatics Core and in Dr. King's laboratory will be used for this
project.
