Advances of bioinformatics tools applied in virus epitopes prediction
Author:
Publisher
Elsevier BV
Subject
Virology,Molecular Medicine,Immunology
Link
http://link.springer.com/content/pdf/10.1007/s12250-011-3159-4.pdf
Reference22 articles.
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2. Bui HH, Peters B, Assarsson E, et al. 2007. Ab and T cell epitopes of influenza A virus, knowledge and opportunities. Proc Natl Acad Sci USA, 104(1): 246–251.
3. Buus S, Lauemøller S L, Worning P, et al. 2003. Sensitive quantitative predictions of peptide-MHC binding by a ‘Query by Committee’ artificial neural network approach. Tissue Antigens, 62(5): 378–384.
4. Davies M N, Flower D R. 2007. Harnessing bioinformatics to discover new vaccines. Drug Discov Today, 12(9–10): 389–395.
5. Díaz I, Pujols J, Ganges L, et al. 2009. In silico prediction and ex vivo evaluation of potential T-cell epitopes in glycoproteins 4 and 5 and nucleocapsid protein of genotype-I (European) of porcine reproductive and respiratory syndrome virus. Vaccine, 27(41): 5603–5611.
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