Cargando…

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-2K(b). Peptide sequence design was accomplished by a combination of an ant colony optimization algorithm with artificial neural network...

Descripción completa

Detalles Bibliográficos
Autores principales: Wisniewska, Joanna M., Jäger, Natalie, Freier, Anja, Losch, Florian O., Wiesmüller, Karl-Heinz, Walden, Peter, Wrede, Paul, Schneider, Gisbert, Hiss, Jan A.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2876253/
https://www.ncbi.nlm.nih.gov/pubmed/20508831
http://dx.doi.org/10.1155/2010/396847
Descripción
Sumario:Experimental results are presented for 180 in silico designed octapeptide sequences and their stabilizing effects on the major histocompatibility class I molecule H-2K(b). Peptide sequence design was accomplished by a combination of an ant colony optimization algorithm with artificial neural network classifiers. Experimental tests yielded nine H-2K(b) 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.