Abstract
dc:description.abstractQuantitative Structure-Activity Relationship (QSAR) methods are a commonly used tool in the drug discovery process. These methods attempt to form a statistical model that relates descriptor properties of a ligand to the activity of that ligand compound towards a specific desired physiological response. QSAR methods are known as a ligand-based method, as they specifically use information from ligands and not protein structural data. However, a derivation of QSAR methods are pseudoreceptor methods. Pseudoreceptor methods go beyond standard QSAR by building a model representation of the protein pocket. However, the ability of pseudoreceptors to accurately replicate natural protein surfaces has not been studied. The goal of this thesis work is to investigate the necessary descriptors to map a protein binding pocket and a method to accurately recreate the 3-D spatial structure of the binding pocket. In addition, additional applications of existing pseudoreceptor methods are explored.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Medicinal Chemistry and Molecular Pharmacology
- Year
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wilson, Gregory Lee
- Contributors dc:contributor
-
- Markus Lill
- Jean-Christophe Rochet
- Chiwook Park
- Daisuke Kihara
Subjects
dc:subject × 5Identifiers
dc:identifier.*- Repository record dc:identifier
- https://docs.lib.purdue.edu/open_access_dissertations/1435
- OAI identifier oai:identifier
- oai:docs.lib.purdue.edu:open_access_dissertations-2651