MHC I stabilizing potential of computer-designed octapeptides

Experimental results are presented for 180 in silico designed octapeptide sequences and their stabilizing effects on the major histocompatibility class I molecule H-2Kb. Peptide sequence design was accomplished by a combination of an ant colony optimization algorithm with artificial neural network classifiers. Experimental tests yielded nine H-2Kb stabilizing and 171 nonstabilizing peptides. 28 among the nonstabilizing octapeptides contain canonical motif residues known to be favorable for MHC I stabilization. For characterization of the area covered by stabilizing and non-stabilizing octapeptides in sequence space, we visualized the distribution of 100,603 octapeptides using a self-organizing map. The experimental results present evidence that the canonical sequence motives of the SYFPEITHI database on their own are insufficient for predicting MHC I protein stabilization.

Metadaten
Author:	Joanna Marta Wisniewska GND, Natalie Jäger, Anja Freier, Florian O. Losch, Karl-Heinz Wiesmüller, Peter Walden ORCiD GND, Paul Wrede ORCiD GND, Gisbert Schneider ORCiD GND, Jan Alexander Hiß ORCiD GND
URN:	urn:nbn:de:hebis:30-80618
DOI:	https://doi.org/10.1155/2010/396847
ISSN:	1110-7243
Parent Title (English):	Journal of biomedicine and biotechnology
Publisher:	Hindawi
Place of publication:	New York, NY
Document Type:	Article
Language:	English
Date of Publication (online):	2010/09/23
Year of first Publication:	2010
Publishing Institution:	Universitätsbibliothek Johann Christian Senckenberg
Release Date:	2010/09/23
Volume:	2010
Issue:	Article ID 396847
Page Number:	9
First Page:	1
Last Page:	9
Note:	Copyright © 2010 Joanna M.Wisniewska et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
HeBIS-PPN:	228848423
Institutes:	Biochemie, Chemie und Pharmazie / Biochemie und Chemie
Dewey Decimal Classification:	5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:	Universitätspublikationen
	Sammlung Biologie / Sondersammelgebiets-Volltexte
Licence (German):	Creative Commons - Namensnennung 3.0

Open Access