Duquesne
Structural Determinants for Inhibitor Recognition by the Dopamine Transporter
Abstract
dc:description.abstractThe 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.
Degree
thesis:*- Name thesis:degree_name
- PhD
- Level thesis:degree_level
- Immediate Access
- Discipline thesis:degree_discipline
- Pharmacology-Toxicology
- Year dc:date.available
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Liu, Yi
- Contributors dc:contributor
-
- Christopher K. Surratt
- Jeffry Madura
- Paula A. Witt-Enderby
- David A. Johnson
- Wilson S. Meng
Subjects
dc:subject × 5Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://dsc.duq.edu/etd/829
- OAI identifier oai:identifier
- oai:dsc.duq.edu:etd-1845