Bioinformatic Techniques for Vaccine Development: Epitope Prediction and Structural Vaccinology
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-1892-9_21
Reference20 articles.
1. Anasir MI, Poh CL (2019) Structural vaccinology for viral vaccine design. Front Microbiol 10:738. https://doi.org/10.3389/fmicb.2019.00738
2. Soria-Guerra RE, Nieto-Gomez R, Govea-Alonso DO, Rosales-Mendoza S (2015) An overview of bioinformatics tools for epitope prediction: implications on vaccine development. J Biomed Inform 53:405–414. https://doi.org/10.1016/j.jbi.2014.11.003
3. Reche PA, Glutting JP, Reinherz EL (2002) Prediction of MHC class I binding peptides using profile motifs. Hum Immunol 63(9):701–709. https://doi.org/10.1016/S0198-8859(02)00432-9
4. Bhasin M, Raghava G (2007) A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes. J Biosci 32(1):31–42. http://www.imtech.res.in/raghava/nhalpred/. Accessed 4 Oct 2020.
5. Jacob L, Vert JP (2008) Efficient peptide-MHC-I binding prediction for alleles with few known binders. Bioinformatics 24(3):358–366. https://doi.org/10.1093/bioinformatics/btm611
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