Selection of epitope-based vaccine targets of HCV genotype 1 of Asian origin: a systematic in silico approach

Shehzadi, Abida; Rehman, S.; Husnain, Tayyab

doi:10.6026/97320630008957

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…This HLA termed as "protective molecule" showed to reduce the ability of HCV to escape the cytotoxic T-cell response of the host [ 37 ]. A similar approach was carried out by Shehzadi et al [ 38 ] in the selection of epitope-based vaccine which targeted HCV genotype 1 using complete genome sequences based on HLA binding prediction score alone.…”

Section: Discussionmentioning

confidence: 99%

Short peptide epitope design from hantaviruses causing HFRS

et al. 2017

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Several genotypes of the hantavirus cause hemorrhagic fever with renal syndrome (HFRS) and is an important public health problem worldwide. There is now growing interest to develop subunit vaccines especially focused to elicit cytotoxic T lymphocyte responses which are important against viral infection. We identified candidate T-cell epitopes that bind to Class I HLA supertypes towards identifying potential subunit vaccine entity. These epitopes are conserved in all 5 hantavirus genotypes of HFRS (Hantaan, Dobrava- Belgrade, Seoul, Gou virus and Amur). The epitopes identified from S and M segment genomes were analyzed for human proteasome cleavage, transporter associated antigen processing (TAP) efficiency and antigenicity using bioinformatic approaches. The epitope MRNTIMASK which had the two characteristics of high proteasomal cleavage score and TAP score, also had high antigenicity score. Our results indicate that this epitope from the nucleocapsid protein may be considered the most favorable moiety for the development of subunit peptide vaccine.

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Section: Discussionmentioning

confidence: 99%

Short peptide epitope design from hantaviruses causing HFRS

et al. 2017

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Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review

Raoufi

Hemmati

Eftekhari

et al. 2019

Int J Pept Res Ther

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Immunoinformatics is a science that helps to create significant immunological information using bioinformatics softwares and applications. One of the most important applications of immunoinformatics is the prediction of a variety of specific epitopes for B cell recognition and T cell through MHC class I and II molecules. This method reduces costs and time compared to laboratory tests. In this state-of-the-art review, we review about 50 papers to find the latest and most used immunoinformatic tools as well as their applications for predicting the viral, bacterial and tumoral structural and linear epitopes of B and T cells. In the clinic, the main application of prediction of epitopes is for designing peptide-based vaccines. Peptide-based vaccines are a considerably potential alternative to low-cost vaccines that may reduce the risks related to the production of common vaccines.

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