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Duquesne

Structural Determinants for Inhibitor Recognition by the Dopamine Transporter

Abstract

dc:description.abstract

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.

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 × 5

Rights

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

Chain of custody

source
Harvested from
Duquesne
Base URL
dsc.duq.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Liu, Yi. Structural Determinants for Inhibitor Recognition by the Dopamine Transporter. Immediate Access thesis, 2011. https://dsc.duq.edu/etd/829