scholarly journals Epitope-Based Peptide Vaccine against Glycoprotein G of Nipah Henipavirus Using Immunoinformatics Approaches

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Arwa A. Mohammed ◽  
Shaza W. Shantier ◽  
Mujahed I. Mustafa ◽  
Hind K. Osman ◽  
Hashim E. Elmansi ◽  
...  
Keyword(s):  
B Cell ◽  
Mhc Class Ii ◽  
Nipah Virus ◽  
Peptide Vaccine ◽  
Cell Epitope ◽  
Asymptomatic Infection ◽  
Healthcare Facilities ◽  
Glycoprotein G ◽  
Autodock 4.0

Background. Nipah belongs to the genus Henipavirus and the Paramyxoviridae family. It is an endemic most commonly found at South Asia and has first emerged in Malaysia in 1998. Bats are found to be the main reservoir for this virus, causing disease in both humans and animals. The last outbreak has occurred in May 2018 in Kerala. It is characterized by high pathogenicity and fatality rates which varies from 40% to 70% depending on the severity of the disease and on the availability of adequate healthcare facilities. Currently, there are no antiviral drugs available for NiV disease and the treatment is just supportive. Clinical presentations for this virus range from asymptomatic infection to fatal encephalitis. Objective. This study is aimed at predicting an effective epitope-based vaccine against glycoprotein G of Nipah henipavirus, using immunoinformatics approaches. Methods and Materials. Glycoprotein G of the Nipah virus sequence was retrieved from NCBI. Different prediction tools were used to analyze the epitopes, namely, BepiPred-2.0: Sequential B Cell Epitope Predictor for B cell and T cell MHC classes II and I. Then, the proposed peptides were docked using Autodock 4.0 software program. Results and Conclusions. The two peptides TVYHCSAVY and FLIDRINWI have showed a very strong binding affinity to MHC class I and MHC class II alleles. Furthermore, considering the conservancy, the affinity, and the population coverage, the peptide FLIDRINWIT is highly suitable to be utilized to formulate a new vaccine against glycoprotein G of Nipah henipavirus. An in vivo study for the proposed peptides is also highly recommended.

scholarly journals Epitope - based peptide vaccine against glycoprotein GPC precursor of Lujo virus using immunoinformatics approaches

2020 ◽  
Author(s):  
Arwa A. Mohammed ◽  
Mayada E. Elkhalifa ◽  
Khadija E. Elamin ◽  
Rawan A. Mohammed ◽  
Musab E. Ibrahim ◽  
...  
Keyword(s):  
B Cell ◽  
Mhc Class Ii ◽  
Peptide Vaccine ◽  
Cell Epitope ◽  
Hemorrhagic Fever ◽  
Population Coverage ◽  
B Cell Epitope ◽  
Cub Domain ◽  
Autodock 4.0

AbstractBackgroundLujo virus (LUJV) is a highly fatal human pathogen belonging to the Arenaviridae family. Lujo virus causes viral hemorrhagic fever (VHF). An In silico molecular docking was performed on the GPC domain of Lujo virus in complex with the first CUB domain of neuropilin-2.The aim of this study is to predict effective epitope-based vaccine against glycoprotein GPC precursor of Lujo virus using immunoinformatics approaches.Methods and Materialsglycoprotein GPC precursor of Lujo virus Sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominee’s epitopes in BepiPred-2.0: Sequential B-Cell Epitope Predictor for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program.Results and ConclusionsThe proposed and promising peptides FWYLNHTKL and YMFSVTLCI shows a very strong binding affinity to MHC class I & II alleles with high population coverage for the world, South Africa and Sudan. This indicates a strong potential to formulate a new vaccine, especially with the peptide YMFSVTLCI which is likely to be the first proposed epitope-based vaccine against glycoprotein GPC of Lujo virus. This study recommends an in-vivo assessment for the most promising peptides especially FWYLNHTKL, YMFSVTLCI and LPCPKPHRLR.

scholarly journals Epitope - based peptide vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches

2019 ◽  
Author(s):  
Arwa A. Mohammed ◽  
Shaza W. Shantier ◽  
Mujahed I. Mustafa ◽  
Hind K. Osman ◽  
Hashim E. Elmansi ◽  
...  
Keyword(s):  
B Cell ◽  
Binding Affinity ◽  
Mhc Class Ii ◽  
Peptide Vaccine ◽  
Cell Epitope ◽  
Case Fatality ◽  
Mhc I ◽  
Strong Binding ◽  
Glycoprotein G

AbstractBackgroundNipah virus (NiV) is a member of the genus Henipavirus of the family Paramyxoviridae, characterized by high pathogenicity and endemic in South Asia, first emerged in Malaysia in 1998. The case-fatality varies from 40% to 70% depending on the severity of the disease and on the availability of adequate healthcare facilities. At present no antiviral drugs are available for NiV disease and the treatment is just supportive. Clinical presentation ranges from asymptomatic infection to fatal encephalitis. Bats are the main reservoir for this virus, which can cause disease in humans and animals. The last investigated NiV outbreak has occurred in May 2018 in Kerala.ObjectiveThis study aims to predict effective epitope-based vaccine against glycoprotein G of Nipah henipavirus using immunoinformatics approaches.Methods and MaterialsGlycoprotein G of Nipah henipavirus sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominee’s epitopes in BepiPred-2.0: Sequential B-Cell Epitope Predictor for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program.Results and ConclusionsPeptide TVYHCSAVY shows a very strong binding affinity to MHC I alleles while FLIDRINWI shows a very strong binding affinity to MHC II and MHC I alleles. This indicates a strong potential to formulate a new vaccine, especially with the peptide FLIDRINWI that is likely to be the first proposed epitope-based vaccine against glycoprotein G of Nipah henipavirus. This study recommends an in-vivo assessment for the most promising peptides especially FLIDRINWI.

scholarly journals Epitope - based peptide vaccine againstFructose-bisphosphate aldolase (FBA)ofMadurella mycetomatisusing immunoinformatics approaches

2018 ◽  
Author(s):  
Arwa A. Mohammed ◽  
Ayman M. H. ALnaby ◽  
Solima M. Sabeel ◽  
Fagr M. AbdElmarouf ◽  
Amina I. Dirar ◽  
...  
Keyword(s):  
B Cell ◽  
Binding Affinity ◽  
Mhc Class Ii ◽  
Bacterial Infections ◽  
Peptide Vaccine ◽  
Fructose Bisphosphate ◽  
Strong Binding ◽  
Fructose Bisphosphate Aldolase ◽  
Madurella Mycetomatis

AbstractBackgroundMycetoma is a distinct flesh eating and destructive neglected tropical disease. It is endemic in many tropical and subtropical countries. Mycetoma is caused by bacterial infections (actinomycetoma) such as Streptomyces somaliensis and Nocardiae or true fungi (eumycetoma) such as Madurella mycetomatis. Until date, treatments fail to cure the infection and the available marketed drugs are expensive and toxic upon prolonged usage. Moreover, no vaccine was prepared yet against mycetoma.The aimof this study is to predict effective epitope-based vaccine against fructose-bisphosphate aldolase enzymes of M. mycetomatis using immunoinformatics approaches.Methods and MaterialsFructose-bisphosphate aldolase ofMadurella mycetomatisSequence was retrieved from NCBI. Different prediction tools were used to analyze the nominee’s epitopes in Immune Epitope Database for B-cell, T-cell MHC class II & I. Then the proposed peptides were docked using Autodock 4.0 software program.Results and ConclusionsThe proposed and promising peptides KYLQ shows a potent binding affinity to B-cell, FEYARKHAF with a very strong binding affinity to MHC1 alleles and FFKEHGVPL that show a very strong binding affinity to MHC11and MHC1 alleles. This indicates a strong potential to formulate a new vaccine, especially with the peptide FFKEHGVPL which is likely to be the first proposed epitope-based vaccine against Fructose-bisphosphate aldolase of Madurella mycetomatis. This study recommends an in-vivo assessment for the most promising peptides especially FFKEHGVPL.

scholarly journals Construction of Epitope-Based Peptide Vaccine Against SARS-CoV-2: Immunoinformatics Study

2020 ◽  
Vol 14 (suppl 1) ◽  
pp. 999-1005 ◽  
Author(s):  
Viol Dhea Kharisma ◽  
Arif Nur Muhammad Ansori
Keyword(s):  
B Cell ◽  
Peptide Vaccine ◽  
Cell Epitope ◽  
Molecular Complexes ◽  
Cell Immune Response ◽  
Spike Glycoprotein ◽  
Conserved Region ◽  
Novel Coronavirus

Recently, a novel coronavirus (SARS-CoV-2) appeared which is conscientious for the current outbreak in China and rapidly spread worldwide. Unluckily, there is no approved vaccine found against SARS-CoV-2. Therefore, there is an urgent need for designing a suitable peptide vaccine constituent against the SARS-CoV-2. In this study, we characterized the spike glycoprotein of SARS-CoV-2 to obtain immunogenic epitopes. In addition, we used 58 SARS-CoV-2 isolates were retrieved from the Global Initiative on Sharing All Influenza Data (GISAID) and National Center for Biotechnology Information (NCBI), then aligned to obtain the conserved region of SARS-CoV-2 spike glycoprotein. The interaction between the conserved region with ACE2 receptor, a SARS-CoV-2 receptor on the host cell, has been evaluated through molecular docking approach. The B-cell epitope was identified using the immune epitope database (IEDB) web server. Interestingly, we recommend Pep_4 ADHQPQTFVNTELH as a epitope-based peptide vaccine candidate to deal with the SARS-CoV-2 outbreak. Pep_4 has a high level of immunogenicity and does not trigger autoimmune mechanisms. Pep_4 is capable of forming BCR/Fab molecular complexes with the lowest binding energy for activation of transduction signal the direct B-cell immune response. However, further study is suggested for confirmation (in vitro and in vivo).

scholarly journals An Immunoinformatics Study to Predict Epitopes in the Envelope Protein of SARS-COV-2

2020 ◽  
Author(s):  
Renu Jakhar ◽  
S.K Gakhar
Keyword(s):  
B Cell ◽  
Envelope Protein ◽  
Peptide Vaccine ◽  
Cell Epitope ◽  
T Helper ◽  
Ctl Epitopes ◽  
The People ◽  
B Cell Epitope

AbstractCOVID-19 is a new viral emergent human disease caused by a novel strain of Coronavirus. This virus has caused a huge problem in the world as millions of the people are affected with this disease in the entire world. We aimed to design a peptide vaccine for COVID-19 particularly for the envelope protein using computational methods to predict epitopes inducing the immune system and can be used later to create a new peptide vaccine that could replace conventional vaccines. A total of available 370 sequences of SARS-CoV-2 were retrieved from NCBI for bioinformatics analysis using Immune Epitope Data Base (IEDB) to predict B and T cells epitopes. Then we docked the best predicted CTL epitopes with HLA alleles. CTL cell epitopes namely interacted with MHC class I alleles and we suggested them to become universal peptides based vaccine against COVID-19. Potentially continuous B cell epitopes were predicted using tools from IEDB. The Allergenicity of predicted epitopes was analyzed by AllerTOP tool and the coverage was determined throughout the worlds. We found these CTL epitopes to be T helper epitopes also. The B cell epitope, SRVKNL and T cell epitope, FLAFVVFLL were suggested to become a universal candidate for peptide-based vaccine against COVID-19. We hope to confirm our findings by adding complementary steps of both in vitro and in vivo studies to support this new universal predicted candidate.

T-cell Epitope-based Vaccine Design for Nipah Virus by Reverse Vaccinology Approach

2020 ◽  
Vol 23 (8) ◽  
pp. 788-796
Author(s):  
Praveen K.P. Krishnamoorthy ◽  
Sekar Subasree ◽  
Udhayachandran Arthi ◽  
Mohammad Mobashir ◽  
Chirag Gowda ◽  
...  
Keyword(s):  
T Cell ◽  
Mhc Class Ii ◽  
Vaccine Development ◽  
Nipah Virus ◽  
3D Structure ◽  
Cell Epitope ◽  
Class Ii ◽  
Class I ◽  
Reverse Vaccinology ◽  
Stable Complex

Aim and Objective: Nipah virus (NiV) is a zoonotic virus of the paramyxovirus family that sporadically breaks out from livestock and spreads in humans through breathing resulting in an indication of encephalitis syndrome. In the current study, T cell epitopes with the NiV W protein antigens were predicted. Materials and Methods: Modelling of unavailable 3D structure of W protein followed by docking studies of respective Human MHC - class I and MHC - class II alleles predicted was carried out for the highest binding rates. In the computational analysis, epitopes were assessed for immunogenicity, conservation, and toxicity analysis. T – cell-based vaccine development against NiV was screened for eight epitopes of Indian - Asian origin. Results: Two epitopes, SPVIAEHYY and LVNDGLNII, have been screened and selected for further docking study based on toxicity and conservancy analyses. These epitopes showed a significant score of -1.19 kcal/mol and 0.15 kcal/mol with HLA- B*35:03 and HLA- DRB1 * 07:03, respectively by using allele - Class I and Class II from AutoDock. These two peptides predicted by the reverse vaccinology approach are likely to induce immune response mediated by T – cells. Conclusion: Simulation using GROMACS has revealed that LVNDGLNII epitope forms a more stable complex with HLA molecule and will be useful in developing the epitope-based Nipah virus vaccine.

scholarly journals Epitope-Based Peptide Vaccine Against Fructose-Bisphosphate Aldolase of Madurella mycetomatis Using Immunoinformatics Approaches

2018 ◽  
Vol 12 ◽  
pp. 117793221880970 ◽  
Author(s):  
Arwa A Mohammed ◽  
Ayman MH ALnaby ◽  
Solima M Sabeel ◽  
Fagr M AbdElmarouf ◽  
Amina I Dirar ◽  
...  
Keyword(s):  
B Cell ◽  
Binding Affinity ◽  
Mhc Class Ii ◽  
Bacterial Infections ◽  
Peptide Vaccine ◽  
Fructose Bisphosphate ◽  
Mhc I ◽  
Strong Binding ◽  
Fructose Bisphosphate Aldolase ◽  
Madurella Mycetomatis

Background: Mycetoma is a distinct body tissue destructive and neglected tropical disease. It is endemic in many tropical and subtropical countries. Mycetoma is caused by bacterial infections ( actinomycetoma) such as Streptomyces somaliensis and Nocardiae or true fungi ( eumycetoma) such as Madurella mycetomatis. To date, treatments fail to cure the infection and the available marketed drugs are expensive and toxic upon prolonged usage. Moreover, no vaccine was prepared yet against mycetoma. Aim: The aim of this study is to predict effective epitope-based vaccine against fructose-bisphosphate aldolase enzymes of M. mycetomatis using immunoinformatics approaches. Methods and materials: Fructose-bisphosphate aldolase of M. mycetomatis sequence was retrieved from NCBI. Different prediction tools were used to analyze the nominee’s epitopes in Immune Epitope Database for B-cell, T-cell MHC class II and class I. Then the proposed peptides were docked using Autodock 4.0 software program. Results and conclusions: The proposed and promising peptides KYLQ show a potent binding affinity to B-cell, FEYARKHAF with a very strong binding affinity to MHC I alleles and FFKEHGVPL that shows a very strong binding affinity to MHC II and MHC I alleles. This indicates a strong potential to formulate a new vaccine, especially with the peptide FFKEHGVPL which is likely to be the first proposed epitope-based vaccine against fructose-bisphosphate aldolase of M. mycetomatis. This study recommends an in vivo assessment for the most promising peptides especially FFKEHGVPL.

scholarly journals Epitope‐based peptide vaccine design and target site depiction against Middle East Respiratory Syndrome Coronavirus: an immune-informatics study

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Muhammad Tahir ul Qamar ◽  
Saman Saleem ◽  
Usman Ali Ashfaq ◽  
Amna Bari ◽  
Farooq Anwar ◽  
...  
Keyword(s):  
T Cell ◽  
Middle East ◽  
B Cell ◽  
Mhc Class Ii ◽  
Peptide Vaccine ◽  
Middle East Respiratory Syndrome ◽  
T Cell Epitopes ◽  
Resistance Response ◽  
B Cell Epitopes ◽  
S Protein

Abstract Background Middle East Respiratory Syndrome Coronavirus (MERS-COV) is the main cause of lung and kidney infections in developing countries such as Saudi Arabia and South Korea. This infectious single-stranded, positive (+) sense RNA virus enters the host by binding to dipeptidyl-peptide receptors. Since no vaccine is yet available for MERS-COV, rapid case identification, isolation, and infection prevention strategies must be used to combat the spreading of MERS-COV infection. Additionally, there is a desperate need for vaccines and antiviral strategies. Methods The present study used immuno-informatics and computational approaches to identify conserved B- and T cell epitopes for the MERS-COV spike (S) protein that may perform a significant role in eliciting the resistance response to MERS-COV infection. Results Many conserved cytotoxic T-lymphocyte epitopes and discontinuous and linear B-cell epitopes were predicted for the MERS-COV S protein, and their antigenicity and interactions with the human leukocyte antigen (HLA) B7 allele were estimated. Among B-cell epitopes, QLQMGFGITVQYGT displayed the highest antigenicity-score, and was immensely immunogenic. Among T-cell epitopes, MHC class-I peptide YKLQPLTFL and MHC class-II peptide YCILEPRSG were identified as highly antigenic. Furthermore, docking analyses revealed that the predicted peptides engaged in strong bonding with the HLA-B7 allele. Conclusion The present study identified several MERS-COV S protein epitopes that are conserved among various isolates from different countries. The putative antigenic epitopes may prove effective as novel vaccines for eradication and combating of MERS-COV infection.

scholarly journals IgG-Mediated Anaphylaxis to a Synthetic Long Peptide Vaccine Containing a B Cell Epitope Can Be Avoided by Slow-Release Formulation

2014 ◽  
Vol 192 (12) ◽  
pp. 5813-5820 ◽  
Author(s):  
Esther D. Quakkelaar ◽  
Marieke F. Fransen ◽  
Wendy W. C. van Maren ◽  
Joost Vaneman ◽  
Nikki M. Loof ◽  
...  
Keyword(s):  
B Cell ◽  
Slow Release ◽  
Peptide Vaccine ◽  
Cell Epitope ◽  
Release Formulation ◽  
Slow Release Formulation ◽  
B Cell Epitope
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