Advances in Studies on Vaccines of Foot-and-mouth Disease

Tang, Hua; Liu, Xinsheng; Fang, Yuqi; Pan, Li; Zhang, Zhongwang; Zhou, Peng; Lv, Jing; Jiang, Shoutian; Hu, Wenfa; Zhang, Pan; Wang, Yonglu; Zhang, Yongguang

doi:10.3923/ajava.2012.1245.1254

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…Immunoinformatics approach uses computational algorithms to predict potential vaccine candidates or T-cell epitopes. The advantage of a peptide- or epitope-based vaccine is the ability to deliver high doses of the potential immunogen and at a low cost (Von Hoff et al 2005; Tang et al 2012b). Viral protein which could act as a vaccine candidate must be surface-exposed, antigenic and responsible for pathogenicity (Cerdino-Tarraga et al 2003; Verma et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Screening and structure-based modeling of T-cell epitopes of Nipah virus proteome: an immunoinformatic approach for designing peptide-based vaccine

Kamthania

Sharma²

2015

3 Biotech

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Identification of Nipah virus (NiV) T-cell-specific antigen is urgently needed for appropriate diagnostic and vaccination. In the present study, prediction and modeling of T-cell epitopes of Nipah virus antigenic proteins nucleocapsid, phosphoprotein, matrix, fusion, glycoprotein, L protein, W protein, V protein and C protein followed by the binding simulation studies of predicted highest binding scorers with their corresponding MHC class I alleles were done. Immunoinformatic tool ProPred1 was used to predict the promiscuous MHC class I epitopes of viral antigenic proteins. The molecular modelings of the epitopes were done by PEPstr server. And alleles structure were predicted by MODELLER 9.10. Molecular dynamics (MD) simulation studies were performed through the NAMD graphical user interface embedded in visual molecular dynamics. Epitopes VPATNSPEL, NPTAVPFTL and LLFVFGPNL of Nucleocapsid, V protein and Fusion protein have considerable binding energy and score with HLA-B7, HLA-B*2705 and HLA-A2MHC class I allele, respectively. These three predicted peptides are highly potential to induce T-cell-mediated immune response and are expected to be useful in designing epitope-based vaccines against Nipah virus after further testing by wet laboratory studies.

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Section: Introductionmentioning

confidence: 99%

Screening and structure-based modeling of T-cell epitopes of Nipah virus proteome: an immunoinformatic approach for designing peptide-based vaccine

Kamthania

Sharma²

2015

3 Biotech

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show abstract

“…Now a days, scientists have realized many disadvantages of this vaccine and it is very difficult to maintain consistent potency of vaccine and much research continues for developing alternative vaccine strategies that do not require infectious virus viz. proteins/peptides and various recombinant DNA-based strategies, including vectored, virus-like particle (Mohana et al, 2012;Scotti and Rybicki, 2013), gene replacement , empty viral capsids having desired immunogens but lacking infectious nucleic acid and DNA vaccines, synthetic peptide vaccine, epitope based vaccines, chimeric virus vaccines using reverse genetics technology and so on (Seago et al, 2012;Tang et al, 2012b;Zheng et al, 2013). Live attenuated vaccines have also been attempted by serial passaging in non-permissive cell culture or animals (classically), but with limited success.…”

Section: Inactivated Fmd Vaccinesmentioning

confidence: 99%