School of Pharmacy
Christopher K. Surratt
Paula A. Witt-Enderby
David A. Johnson
Wilson S. Meng
Dopamine transporter, Molecular model, Mutagenesis, Photoaffinity labeling, Virtual screening
The dissertation will give an introduction, background and our research progress in the areas of dopamine transporter (DAT). A 3-D DAT computer model was generated in our laboratory based on the X-ray crystal structure of the bacterial leucine transporter LeuT, a distant homolog of DAT. The ability of this LeuTAa-based 3-D DAT computer model to identify specific DAT residues involved in inhibitor recognition was assessed through site-directed mutagenesis and subsequent pharmacologic characterization in the present study. Feedback from these experiments confirmed some of the suggestion from the DAT model, which is encouraging that the comparative DAT model is valid to some extent and could be further used for ligand docking and virtual screening.
Liu, Y. (2011). Structural Determinants for Inhibitor Recognition by the Dopamine Transporter (Doctoral dissertation, Duquesne University). Retrieved from https://dsc.duq.edu/etd/829