PAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors.

Abstract

Prediction of peptide immunogenicity is a promising approach for novel vaccine discovery. Conventionally, epitope prediction methods have been developed to accelerate the process of vaccine production by searching for candidate peptides from pathogenic proteins. However, recent studies revealed that peptides with high binding affinity to major… (More)
DOI: 10.1016/j.jim.2012.09.016

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Cite this paper

@article{Saethang2013PAAQDPI, title={PAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors.}, author={Thammakorn Saethang and Osamu Hirose and Ingorn Kimkong and Vu Anh Tran and Xuan Tho Dang and Lan Nguyen and Tu Kien T. Le and Mamoru Kubo and Yoichi Yamada and Kenji Satou}, journal={Journal of immunological methods}, year={2013}, volume={387 1-2}, pages={293-302} }