Building a Meta-Predictor for MHC Class II-Binding Peptides

Author(s):  
Lei Huang ◽  
Oleksiy Karpenko ◽  
Naveen Murugan ◽  
Yang Dai
Biologicals ◽  
2001 ◽  
Vol 29 (3-4) ◽  
pp. 289-292 ◽  
Author(s):  
Ellen C. de Haan ◽  
Marca H.M. Wauben ◽  
Mayken C. Grosfeld-Stulemeyer ◽  
Ed E. Moret

2007 ◽  
Vol 60 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Oleksiy Karpenko ◽  
Lei Huang ◽  
Yang Dai

1995 ◽  
Vol 181 (2) ◽  
pp. 449-451 ◽  
Author(s):  
F Sinigaglia ◽  
J Hammer

2009 ◽  
Vol 16 (4) ◽  
pp. 567-573 ◽  
Author(s):  
Simani Gaseitsiwe ◽  
Davide Valentini ◽  
Raija Ahmed ◽  
Shahnaz Mahdavifar ◽  
Isabelle Magalhaes ◽  
...  

ABSTRACT Identification of major histocompatibility complex (MHC) class II binding peptides is a crucial step in rational vaccine design and immune monitoring. We designed a novel MHC class II molecule-peptide microarray binding assay and evaluated 346 peptides from already identified human immunodeficiency virus (HIV) epitopes and an additional set (n = 206) of 20-mer peptides, overlapping by 15 amino acid residues, from HIV type 1B (HIV-1B) gp160 and Nef as a paradigm. Peptides were attached via the N-terminal part to a linker that covalently binds to the epoxy glass slide. The 552 peptides were printed in triplicate on a single peptide microarray chip and tested for stable formation of MHC class II molecule-peptide complexes using recombinant soluble DRB1*0101(DR1), DRB1*1501(DR2), and DRB1*0401(DR4) molecules. Cluster analysis revealed unique patterns of peptide binding to all three, two, or a single MHC class II molecule. MHC class II binding peptides reside within previously described immunogenic regions of HIV gp160 and Nef, yet we could also identify new MHC class II binding peptides from gp160 and Nef. Peptide microarray chips allow the comprehensive and simultaneous screening of a high number of candidate peptide epitopes for MHC class II binding, guided by subsequent quality data extraction and binding pattern cluster analysis.


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