Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15704
Title: Understanding peptide specificity through structural immunoinformatics
Authors: TONG JOO CHUAN
Keywords: MHC, epitope, bioinformatics, prediction
Issue Date: 26-Feb-2007
Source: TONG JOO CHUAN (2007-02-26). Understanding peptide specificity through structural immunoinformatics. ScholarBank@NUS Repository.
Abstract: Major histocompatibility complex (MHC) molecules bind peptides of diverse sequences in order to generate maximal immunological protection by covering the spectrum of peptides that may be seen by a host over the course of its lifetime. However, in many circumstances the immune system malfunctions and incorrectly recognizes a self-peptide that it should not. This results in disease characterized by recognition and attack of self. Pemphigus vulgaris (PV) is an example for such autoimmune disorder. In such situation, peptide-based modalities for immune therapy would be an advantage. However, peptide-based therapies require a thorough understanding of the sequence-structure-function relationship between MHC and its bound peptide. Advances in immunologic techniques and bioinformatics tools have enabled the generation of large amount of data that could be used for such studies. This thesis describes original findings from application of bioinformatic tools to the study of peptide/MHC interactions and its significance in PV.
URI: http://scholarbank.nus.edu.sg/handle/10635/15704
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
JooChuanTong_thesis.pdf3.11 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

231
checked on Dec 11, 2017

Download(s)

342
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.