DocumentCode :
583265
Title :
OWA-PSSM — A position specific scoring matrix based method integrated with OWA weights for HLA-DR peptide binding prediction
Author :
Shen, Wen-Jun ; Wong, Hau-San
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China
fYear :
2012
fDate :
4-7 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
The binding of foreign peptides to MHC II molecules play a vital role in stimulating CD4+ helper T lymphocytes immune response. We present a pan-specific method, OWA-PSSM, that uses 35 pocket profiles generated by the TEPITOPE method to predict MHC II/peptide binding. Additionally, we develop a novel weighting approach, incorporated with OWA (Ordered Weighted Averaging) weights, for the construction of position specific scoring matrices (PSSMs) for 879 DRB alleles. This method is evaluated on four independent benchmark datasets and is demonstrated to outperform the TEPITOPEpan method. For the DRB alleles covered by TEPITOPE, the prediction performance of OWA-PSSM is comparable with TEPITOPE whereas OWA-PSSM can make prediction for up to 879 DRB alleles, while TEPITOPE can only perform prediction for 50 DRB alleles.
Keywords :
bioinformatics; biological techniques; cellular biophysics; knowledge engineering; matrix algebra; molecular biophysics; CD4+ helper T lymphocyte immune response; DRB alleles; HLA-DR peptide binding prediction; MHC II molecules; MHC II-peptide binding; OWA weights; OWA-PSSM; TEPITOPE method; foreign peptide binding; ordered weighted averaging; pan-specific method; position specific scoring matrices; position specific scoring matrix based method; weighting approach; Amino acids; Databases; Matrices; Open wireless architecture; Peptides; Probability density function; Vectors; DRB allele; MHC II; OWA weight; PSSM; RBF kernel; TEPITOPE; pan-specific;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2559-2
Electronic_ISBN :
978-1-4673-2558-5
Type :
conf
DOI :
10.1109/BIBM.2012.6392705
Filename :
6392705
Link To Document :
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