Please use this identifier to cite or link to this item:
Title: Linear epitopes of sperm whale myoglobin identified by polyclonal antibody screening of random peptide library
Authors: Yao, Z.-J. 
Chan, M.-C.
Kao, M.C.C.
Chung, M.C.M.
Keywords: Epitope mapping
Linear epitopes
Polyclonal antibody
Random peptide library
Sperm-whale myoglobin
Issue Date: 1996
Citation: Yao, Z.-J.,Chan, M.-C.,Kao, M.C.C.,Chung, M.C.M. (1996). Linear epitopes of sperm whale myoglobin identified by polyclonal antibody screening of random peptide library. International Journal of Peptide and Protein Research 48 (5) : 477-485. ScholarBank@NUS Repository.
Abstract: Distinct enhancement of antibody-specific clones was apparent during the screening against random peptide libraries with antigen-specific polyclonal antibodies. Several sequence motifs obtained from these screenings were homologous with the primary sequence of myoglobin. Two of these motifs have been confirmed as antigenic determinants by competitive inhibition tests using eight-branched synthetic peptides. One of the peptides has a sequence that corresponds to amino acid residues 42-50, KFDRFKHLK, of the myoglobin sequence. This is a new epitope of myoglobin that is reported for the first time. The epitope is located precisely in the 'turn' or 'loop' region between helices C and D of the crystal structure of myoglobin. The second antibody binding site has a sequence of DIAAKYKELGYQG, and this is located between residues 141-153, which is the C-terminus of myoglobin. This epitope encompassed two linear epitopes of myoglobin, amino acid residues 145-151 and 147-153, that have been reported earlier based on immunochemical characterisation of cleavage fragments of the protein. These results clearly indicate that epitope mapping using polyclonal antibodies against random peptide libraries can identify new epitopes precisely, as well as confirm epitopes of myoglobin obtained earlier using established methodologies.
Source Title: International Journal of Peptide and Protein Research
ISSN: 03678377
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Dec 8, 2022

Google ScholarTM


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