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Brock University

Predicting the Pose of β-Casomorphin-5 and 7 in the Opioid Receptors

Abstract

dc:description.abstract

The opioid receptors consist of three main subtypes; μ, δ, and κ. Previous binding studies have shown that fragments of the milk protein, β-casein, known as β-casomorphins are agonists of these receptors which are selective for the μ receptor subtype. Using the crystal structures of these three receptors, computational molecular docking studies were done using the software GOLD to determine the conformation of β-casomorphin-5 and 7 when they bind to these three opioid receptors. GOLD was able to discriminate among the three receptors when docking the rigid ligands co-crystalized with the receptors. However, GOLD could not discriminate among the three receptors for either of the highly flexible β-casomorphins. A per amino acid scoring method was developed to overcome this problem. This method was used to predict the conformation of both β-casomorphin-5 and 7 in the μ receptor and determine that the two amino acid residues, Lys303 and Trp318 of the μ receptor are responsible for discriminating among the three receptor subtypes for binding of the β-casomorphin-5 and 7.

Degree

thesis:*
Name thesis:degree_name
M.Sc. Chemistry
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Faculty of Mathematics and Science
Department dc:contributor.department
Department of Chemistry
Grantor
Brock University
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Oberc, Christopher

Subjects

dc:subject × 4

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10464/6927
OAI identifier oai:identifier
oai:brocku.scholaris.ca:10464/6927

Chain of custody

source
Harvested from
Brock University
Base URL
brocku.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Oberc, Christopher. Predicting the Pose of β-Casomorphin-5 and 7 in the Opioid Receptors. Masters thesis, Brock University, 2015. http://hdl.handle.net/10464/6927