An Immunopharmacoinformatics Approach in Development of Vaccine and Drug Candidates for West Nile Virus

Hossain, Mohammad Uzzal; Keya, Chaman Ara; Das, Keshob Chandra; Hashem, Abu; Omar, Taimur Md; Khan, Mukhtar A.; Shah, Zaman; Salimullah, Md.

doi:10.3389/fchem.2018.00246

Cited by 17 publications

(7 citation statements)

References 88 publications

(93 reference statements)

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“…About 16 epitopes interacted with more than 5 HLA alleles. Epitopes those which interacted with ≥5 MHC HLA-alleles are most likely to be potential vaccine candidates [ 117 , 118 ]. Antigenicity assessment with VaxiJen server at threshold 0.4 mined 7 epitopes to be antigenic and among them 5 were immunogenic.…”

Section: Discussionmentioning

confidence: 99%

Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1)

et al. 2021

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Human T-cell leukemia virus type 1 (HTLV-1) was the first oncogenic human retrovirus identified in humans which infects at least 10–15 million people worldwide. Large HTLV-1 endemic areas exist in Southern Japan, the Caribbean, Central and South America, the Middle East, Melanesia, and equatorial regions of Africa. HTLV-1 TAX viral protein is thought to play a critical role in HTLV-1 associated diseases. We have used numerous bio-informatics and immuno-informatics implements comprising sequence and construction tools for the construction of a 3D model and epitope prediction for HTLV-1 Tax viral protein. The conformational linear B-cell and T-cell epitopes for HTLV-1 TAX viral protein have been predicted for their possible collective use as vaccine candidates. Based on in silico investigation two B cell epitopes, KEADDNDHEPQISPGGLEPPSEKHFR and DGTPMISGPCPKDGQPS spanning from 324–349 and 252–268 respectively; and T cell epitopes, LLFGYPVYV, ITWPLLPHV and GLLPFHSTL ranging from 11–19, 163–171 and 233–241 were found most antigenic and immunogenic epitopes. Among different vaccine constructs generated by different combinations of these epitopes our predicted vaccine construct was found to be most antigenic with a score of 0.57. T cell epitopes interacted strongly with HLA-A*0201 suggesting a significant immune response evoked by these epitopes. Molecular docking study also showed a high binding affinity of the vaccine construct for TLR4. The study was carried out to predict antigenic determinants of the Tax protein along with the 3D protein modeling. The study revealed a potential multi epitope vaccine that can raise the desired immune response against HTLV-1 and be useful in developing effective vaccines against Human T-lymphotropic virus.

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Section: Discussionmentioning

confidence: 99%

Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1)

et al. 2021

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“…The structural vaccinological analysis and computational validation of the vaccine candidate were also performed against the Mayaro virus [ 27 ]. In considerate to the human pathogenic viruses (West Nile virus and Ebola virus) specific peptide-based vaccine has been developed by employing immuno-pharmacoinformatic techniques [ 28 , 29 ].…”

Section: Discussionmentioning

confidence: 99%

A SARS-CoV-2 vaccine candidate: In-silico cloning and validation

Bhattacharya

Sharma

Patra

et al. 2020

Informatics in Medicine Unlocked

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SARS-CoV-2 is spreading globally at a rapid pace. To contain its spread and prevent further fatalities, the development of a vaccine against SARS-CoV-2 is an urgent prerequisite. Thus, in this article, by utilizing the in-silico approach, a vaccine candidate for SARS-CoV-2 has been proposed. Moreover, the effectiveness and safety measures of our proposed epitopic vaccine candidate have been evaluated by in-silico tools and servers (AllerTOP and AllergenFP servers). We observed that the vaccine candidate has no allergenicity and successfully combined with Toll-like receptor (TLR) protein to elicit an inflammatory immune response. Stable, functional mobility of the vaccine-TLR protein binding interface was confirmed by the Normal Mode Analysis. The in-silico cloning model demonstrated the efficacy of the construct vaccine along with the identified epitopes against SARS-CoV-2. Taken together, our proposed in-silico vaccine candidate has potent efficacy against COVID-19 infection, and successive research work might validate its effectiveness in in vitro and in vivo models.

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“…In the current study, an immunoinformatic-driven approach used to screen emergent immunogen against Aichi virus. B-cell immunity is given the priority to design vaccine but T-cell was also shown to induce strong immune response (36) fragments and their responses are exquisitely antigen-specific, and they are important as antibodies in defending against infection (37,38).…”

Section: Discussionmentioning

confidence: 99%

Multi Epitope Vaccine Prediction Against Aichi Virus using Immunoinformatic Approach

Hassan

Mohamed²,

Musa³

et al. 2019

Preprint

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Aichi virus, AiV is single stranded negative sense RNA genome belonging to the genus Kobuviru, a family of Picornaviridae that causes severe gastroenteritis. There is no treatment or vaccine for it, thus the aim of this study is to design a peptide vaccine using immunoinformatic approaches to analyze the viral Protein VP1 of AiV-1 strain, to determine the conserved region which is further studied to predict all possible epitopes that can be used as a peptide vaccine. A total of 38 Aichi virus VP1 retrieved from NCBI database were aligned to determine the conservancy and to predict the epitopes using IEDB analysis resource. Three epitopes predicted as a peptide vaccine for B cell was (PLPPDT, PPLPTP, and LPPLPTP). For T cell, two epitopes showed high affinity to MHC class I (FSIPYTSPL and TMVSFSIPY) and high coverage against the whole world population. Also, in MHC class II, three epitopes that interact with most frequent MHC class II alleles (FTYIAADLR and YMAEVPVSA) with high coverage in the whole world population. For both MHCI and MHCII the T-cell peptide with the strongest affinity to the worldwide population was FSIPYTSPL.Peptide vaccine against AiV is powerfully displace the normal produced vaccines based on the experimental biochemistry tools, as it designed to handle with a wide range of mutated strains, which will effectively minimize the frequent outbreaks and their massive economical wastage consequences.

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An Immunopharmacoinformatics Approach in Development of Vaccine and Drug Candidates for West Nile Virus

Cited by 17 publications

References 88 publications

Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1)

Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1)

A SARS-CoV-2 vaccine candidate: In-silico cloning and validation

Multi Epitope Vaccine Prediction Against Aichi Virus using Immunoinformatic Approach

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