scholarly journals Prediction of promiscuous T-cell epitopes in the Zika virus polyprotein: An in silico approach

2016 ◽  
Vol 9 (9) ◽  
pp. 844-850 ◽  
Author(s):  
Hamza Dar ◽  
Tahreem Zaheer ◽  
Muhammad Talha Rehman ◽  
Amjad Ali ◽  
Aneela Javed ◽  
...  
Keyword(s):  
T Cell ◽  
Zika Virus ◽  
In Silico ◽  
T Cell Epitopes ◽  
Virus Polyprotein

scholarly journals In silico construction of a multiepitope Zika virus vaccine using immunoinformatics tools

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Ana Clara Barbosa Antonelli ◽  
Vinnycius Pereira Almeida ◽  
Fernanda Oliveira Feitosa de Castro ◽  
Jacyelle Medeiros Silva ◽  
Irmtraut Araci Hoffmann Pfrimer ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Zika Virus ◽  
In Silico ◽  
Protein Domain ◽  
Effective Vaccine ◽  
T Cell Epitopes ◽  
Zikv Infection ◽  
Acute Neuropathy

AbstractZika virus (ZIKV) is an arbovirus from the Flaviviridae family and Flavivirus genus. Neurological events have been associated with ZIKV-infected individuals, such as Guillain-Barré syndrome, an autoimmune acute neuropathy that causes nerve demyelination and can induce paralysis. With the increase of ZIKV infection incidence in 2015, malformation and microcephaly cases in newborns have grown considerably, which suggested congenital transmission. Therefore, the development of an effective vaccine against ZIKV became an urgent need. Live attenuated vaccines present some theoretical risks for administration in pregnant women. Thus, we developed an in silico multiepitope vaccine against ZIKV. All structural and non-structural proteins were investigated using immunoinformatics tools designed for the prediction of CD4 + and CD8 + T cell epitopes. We selected 13 CD8 + and 12 CD4 + T cell epitopes considering parameters such as binding affinity to HLA class I and II molecules, promiscuity based on the number of different HLA alleles that bind to the epitopes, and immunogenicity. ZIKV Envelope protein domain III (EDIII) was added to the vaccine construct, creating a hybrid protein domain-multiepitope vaccine. Three high scoring continuous and two discontinuous B cell epitopes were found in EDIII. Aiming to increase the candidate vaccine antigenicity even further, we tested secondary and tertiary structures and physicochemical parameters of the vaccine conjugated to four different protein adjuvants: flagellin, 50S ribosomal protein L7/L12, heparin-binding hemagglutinin, or RS09 synthetic peptide. The addition of the flagellin adjuvant increased the vaccine's predicted antigenicity. In silico predictions revealed that the protein is a probable antigen, non-allergenic and predicted to be stable. The vaccine’s average population coverage is estimated to be 87.86%, which indicates it can be administered worldwide. Peripheral Blood Mononuclear Cells (PBMC) of individuals with previous ZIKV infection were tested for cytokine production in response to the pool of CD4 and CD8 ZIKV peptide selected. CD4 + and CD8 + T cells showed significant production of IFN-γ upon stimulation and IL-2 production was also detected by CD8 + T cells, which indicated the potential of our peptides to be recognized by specific T cells and induce immune response. In conclusion, we developed an in silico universal vaccine predicted to induce broad and high-coverage cellular and humoral immune responses against ZIKV, which can be a good candidate for posterior in vivo validation.

Immuno-informatics-based identification of novel potential B cell and T cell epitopes to fight Zika virus infections

2020 ◽  
Vol 20 ◽  
Author(s):  
Wahiba Ezzemani ◽  
Marc P. Windisch ◽  
Anass Kettani ◽  
Haya Altawalah ◽  
Jalal Nourlil ◽  
...  
Keyword(s):  
Major Histocompatibility Complex ◽  
T Cell ◽  
Major Histocompatibility Complex Class ◽  
B Cell ◽  
Zika Virus ◽  
T Cell Epitopes ◽  
Complex Class ◽  
Major Histocompatibility ◽  
Virus Infections ◽  
Histocompatibility Complex

Background: Globally, the recent outbreak of Zika virus (ZIKV) in Brazil, Asia Pacific, and other countries highlighted the unmet medical needs. Currently, there are neither effective vaccines nor therapeutics available to prevent or treat ZIKV infection. Objective: In this study, we aimed to design an epitope-based vaccine for ZIKV using an in silico approach to predict and analyze B- and T-cell epitopes. Methods: The prediction of the most antigenic epitopes has targeted the capsid and the envelope proteins as well as nonstructural proteins NS5 and NS3 using immune-informatics tools PROTPARAM, CFSSP, PSIPRED, and Vaxijen v2.0. B and T-cell epitopes were predicted using ABCpred, IEDB, TepiTool, and their toxicity were evaluated using ToxinPred. The 3-dimensional epitope structures were generated by PEP-FOLD. Energy minimization was performed using Swiss-Pdb Viewer, and molecular docking was conducted using PatchDock and FireDock server. Results: As a result, we predicted 307 epitopes of MHCI (major histocompatibility complex class I) and 102 epitopes of MHCII (major histocompatibility complex class II). Based on immunogenicity and antigenicity scores, we identified the four most antigenic MHC I epitopes: MVLAILAFLR (HLA-A*68 :01), ETLHGTVTV (HLA-A*68 :02), DENHPYRTW (HLA-B*44 :02),QEGVFHTMW (HLA-B*44 :03) and TASGRVIEEW (HLA-B*58:01), and MHC II epitopes: IIKKFKKDLAAMLRI (HLA-DRB3*02 :02), ENSKMMLELDPPFGD (HLA-DRB3*01:01), HAETWFFDENHPYRT (HLA-DRB3*01:01), TDGVYRVMTRRLLGS (HLA-DRB1*11 :01), and DGCWYGMEIRPRKEP (HLA-DRB5*01:01). Conclusion : This study provides novel potential B cell and T cell epitopes to fight Zika virus infections and may prompt further development of vaccines against ZIKV and other emerging infectious diseases. However, further investigations for protective immune response by in vitro and in vivo studies to ratify the immunogenicity, safety of the predicted structure, and ultimately the vaccine properties to prevent ZIKV infections are warranted.

scholarly journals In silico design and in vitro expression of novel multiepitope DNA constructs based on HIV-1 proteins and Hsp70 T-cell epitopes

2021 ◽  
Author(s):  
Elahe Akbari ◽  
Kimia Kardani ◽  
Ali Namvar ◽  
Soheila Ajdary ◽  
Esmat Mirabzadeh Ardakani ◽  
...  
Keyword(s):  
T Cell ◽  
In Silico ◽  
T Cell Epitopes ◽  
In Vitro Expression ◽  
In Silico Design ◽  
Hiv 1

In silico accelerated identification of structurally conserved CD8+ and CD4+ T-cell epitopes in high-risk HPV types

2012 ◽  
Vol 12 (7) ◽  
pp. 1513-1518 ◽  
Author(s):  
Shishir K. Gupta ◽  
Mugdha Srivastava ◽  
Bashir A. Akhoon ◽  
Shailendra K. Gupta ◽  
Niels Grabe
Keyword(s):  
T Cell ◽  
High Risk ◽  
In Silico ◽  
Cd4 T Cell ◽  
T Cell Epitopes ◽  
Hpv Types ◽  
High Risk Hpv

scholarly journals In silico analysis and modeling of putative T cell epitopes for vaccine design of Toscana virus

3 Biotech ◽  
2014 ◽  
Vol 5 (4) ◽  
pp. 497-503 ◽  
Author(s):  
Amisha Jain ◽  
Pranav Tripathi ◽  
Aniket Shrotriya ◽  
Ritu Chaudhary ◽  
Ajeet Singh
Keyword(s):  
T Cell ◽  
In Silico ◽  
In Silico Analysis ◽  
Vaccine Design ◽  
T Cell Epitopes ◽  
Toscana Virus ◽  
Silico Analysis

scholarly journals Molecular cloning, expression, purification and in silico epitope prediction of cobalamin-independent methionine synthase (Mor a 2), as a novel allergen from Morus alba pollen

2021 ◽  
Author(s):  
Yunus AKSÜT
Keyword(s):  
T Cell ◽  
B Cell ◽  
In Silico ◽  
Allergic Diseases ◽  
Structural Features ◽  
Morus Alba ◽  
Methionine Synthase ◽  
Antigenic Peptides ◽  
T Cell Epitopes ◽  
B Cell Epitopes

IntroductionMorus alba (white mulberry) pollen is an aero-allergen source that can trigger allergic diseases. Cobalamin-independent methionine synthase (MetE) in M. alba pollen has been proved to be one of the major allergens for some patients living in Istanbul (Turkey). The aim of the present study was the recombinant production and identification of MetE (Mor a 2), a novel allergen from M. alba pollen. The IgE binding reactivity of rMor a 2 produced for the first time was evaluated and some structural features were investigated by in silico methods to better understand its immunogenicity.Material and methodsThe gene encoding Mor a 2 was cloned in fission yeast, Schizosaccharomyces pombe ura4-D18h- strain, using pSLF1073 vector. This is the first report of the production of recombinant pollen allergen in S. pombe. After the purification, immunoreactivity of rMor a 2 was confirmed by immunoblotting using sera of patient allergic to M. alba pollen. Besides, B-cell epitopes of rMor a 2 were predicted using various bioinformatic tools, namely Bioinformatics Predicted Antigenic Peptides, BepiPred 2.0 and Immune Epitope Database whereas T-cell epitopes were estimated using NetMHCIIpan-3.2 and NetMHCII 2.3 servers.ResultsThe immunoblotting analysis yielded 11 of 11 positive reactions to rMor a 2. In silico predictions exerted seven B-cell epitopes (22-33, 384-394, 407-423, 547-553, 571-577, 671-678, 736-741) and seven T-cell epitopes (54-62, 161-170, 197-205, 347-358, 622-630, 657-665, 756-764).ConclusionsThese findings may help the use of rMor a 2 in the diagnosis and treatment of allergic diseases associated with M. alba and/or MetE.

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