IN-SILICO APPROACH FOR PREDICTION OF VACCINE POTENTIAL ANTIGENIC PEPTIDES FROM 23-kDa TRANSMEMBRANE ANTIGEN PROTEIN OF Schistosoma haematobium

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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Physicochemical and structural characterization, epitope mapping and vaccine potential investigation of a new protein containing Tetratrico Peptide Repeats of Acinetobacter baumannii: An in-silico and in-vivo approach

Molecular Immunology ◽

10.1016/j.molimm.2021.10.004 ◽

2021 ◽

Vol 140 ◽

pp. 22-34

Author(s):

Sajad Abdollahi ◽

Zeinab Raoufi ◽

Mohammad Hadi Fakoor

Keyword(s):

Acinetobacter Baumannii ◽

Structural Characterization ◽

In Silico ◽

Epitope Mapping ◽

Vaccine Potential ◽

New Protein

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In Silico Prediction of Epitopes in Virulence Proteins of Mycobacterium ulcerans for Vaccine Designing

Current Genomics ◽

10.2174/1389202922666211129113917 ◽

2021 ◽

Vol 22 ◽

Author(s):

Taruna Mohinani ◽

Aditya Saxena ◽

Shoor Vir Singh

Keyword(s):

T Cell ◽

B Cell ◽

In Silico ◽

Three Dimensional ◽

Cell Epitope ◽

Buruli Ulcer ◽

Mycobacterium Ulcerans ◽

T Cell Epitopes ◽

Virulence Proteins ◽

Vaccine Potential

Background: Mycobacterium ulcerans is the fundamental agent of the third most common Mycobacterial disease known as Buruli Ulcer (BU). It is an infection of the skin and soft tissue affecting the human population worldwide. Presently, the vaccine is not available against BU. Objective: This study aimed to investigate the vaccine potential of virulence proteins of M. ulcerans computationally. Methods: Chromosome encoded virulence proteins of Mycobacterium ulcerans strain Agy99 were selected, which were available at the VFDB database. These proteins were analyzed for their subcellular localization, antigenicity, and human non-homology analysis. Ten virulence factors were finally chosen and analyzed for further study. Three-dimensional structures for selected proteins were predicted using Phyre2. B cell and T cell epitope analysis was done using methods available at Immune Epitope Database and Analysis Resource. Antigenicity, allergenicity, and toxicity analysis were also done to predict epitopes. Molecular docking analysis was done for T cell epitopes, those showing overlap with B cell epitopes. Results: Selected virulence proteins were predicted with B cell and T cell epitopes. Some of the selected proteins were found to be already reported as antigenic in other mycobacteria. Some of the predicted epitopes also had similarities with experimentally identified epitopes of M. ulcerans and M. tuberculosis which further supported our predictions. Conclusion : In-silico approach used for the vaccine candidate identification predicted some virulence proteins that could be proved important in future vaccination strategies against this chronic disease. Predicted epitopes require further experimental validation for their potential use as peptide vaccines.

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Identification of Unique Peptides for SARS-CoV-2 Diagnostics and Vaccine Development by an In Silico Proteomics Approach

Frontiers in Immunology ◽

10.3389/fimmu.2021.725240 ◽

2021 ◽

Vol 12 ◽

Author(s):

Veerbhan Kesarwani ◽

Rupal Gupta ◽

Ramesh Raju Vetukuri ◽

Sandeep Kumar Kushwaha ◽

Sonu Gandhi

Keyword(s):

Cell Lines ◽

In Silico ◽

Vaccine Development ◽

Sequence Similarity ◽

Cell Receptor ◽

Human Saliva ◽

Antigenic Peptides ◽

Genomics And Proteomics ◽

Human Proteins ◽

Antigen Antibody

Ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus strains is posing new COVID-19 diagnosis and treatment challenges. To help efforts to meet these challenges we examined data acquired from proteomic analyses of human SARS-CoV-2-infected cell lines and samples from COVID-19 patients. Initially, 129 unique peptides were identified, which were rigorously evaluated for repeats, disorders, polymorphisms, antigenicity, immunogenicity, toxicity, allergens, sequence similarity to human proteins, and contributions from other potential cross-reacting pathogenic species or the human saliva microbiome. We also screened SARS-CoV-2-infected NBHE and A549 cell lines for presence of antigenic peptides, and identified paratope peptides from crystal structures of SARS-CoV-2 antigen-antibody complexes. We then selected four antigen peptides for docking with known viral unbound T-cell receptor (TCR), class I and II peptide major histocompatibility complex (pMHC), and identified paratope sequences. We also tested the paratope binding affinity of SARS-CoV T- and B-cell peptides that had been previously experimentally validated. The resultant antigenic peptides have high potential for generating SARS-CoV-2-specific antibodies, and the paratope peptides can be directly used to develop a COVID-19 diagnostics assay. The presented genomics and proteomics-based in-silico approaches have apparent utility for identifying new diagnostic peptides that could be used to fight SARS-CoV-2.

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In-Silico Approach in the Development of Salmonella Epitope Vaccine

10.5772/intechopen.96313 ◽

2021 ◽

Author(s):

Hidajah Rachmawati ◽

Raditya Weka Nugraheni ◽

Firasti A.N. Sumadi

Keyword(s):

In Silico ◽

Vaccine Development ◽

Antigenic Peptides ◽

In Silico Prediction ◽

Typhoid Vaccine ◽

Epitope Peptide ◽

Intensive Phase ◽

Disease Agent ◽

Recombinant Technology ◽

Synthetic Antigens

In the case of infection control, one of our primary concerns is typhoid fever. According to WHO, typhoid prevalence in Indonesia is highly endemic. There is also the problem with the low efficacy of the available vaccine to prevent the disease. Therefore, there is an urgent need to develop a highly effective typhoid vaccine. One of the phases in vaccine development is an exploratory phase, a research-intensive phase of the vaccine development process designed to identify natural or synthetic antigens that might help prevent or treat a disease through computer in silico prediction targets. The vaccines developed through epitope peptide are designed to be safer, more efficacious, and less expensive than traditional vaccines. A thorough understanding of the disease agent, particularly critical epitopes to induce the appropriate immunological reaction, is required to achieve these aims. Mapping epitope sequences or antigenic peptides from pathogenic proteins recognized by B cells and T cells is crucial for vaccine development. Once the epitopes were identified, the polypeptide production could be produced through protein recombinant technology. The polypeptide vaccine, in the end, could be delivered using a liposomal delivery system.

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In silico prediction of binding of putative antigenic peptides to HLA-DRB1 alleles in Vogt–Koyanagi–Harada disease

Clinical Immunology ◽

10.1016/j.clim.2005.04.012 ◽

2005 ◽

Vol 116 (2) ◽

pp. 143-148 ◽

Cited By ~ 3

Author(s):

P PRASAD ◽

R LEVINSON

Keyword(s):

In Silico ◽

Antigenic Peptides ◽

In Silico Prediction

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In Silico Toxicology

10.1039/9781849732093 ◽

2010 ◽

Cited By ~ 30

Keyword(s):

In Silico

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Schistosomal Appendicitis in Pregnancy

Swiss Surgery ◽

10.1024/1023-9332.8.3.121 ◽

2002 ◽

Vol 8 (3) ◽

pp. 121-122 ◽

Cited By ~ 9

Author(s):

Halkic ◽

Abdelmoumene ◽

Gintzburger ◽

Mosimann

Keyword(s):

Acute Appendicitis ◽

Schistosoma Haematobium ◽

Acute Inflammation ◽

The Body ◽

Parasitic Infections ◽

Common Complication ◽

Surgical Infection ◽

High Prevalence ◽

Potential Challenge ◽

In Pregnancy

Acute appendicitis is the most common acute surgical infection during pregnancy. Although usually pyogenic in origin, parasitic infections account for a small percentage of cases. Despite the relatively high prevalence of acute appendicitis in our environment, it is not commonly associated with schistosomiasis. We report here the association of pregnancy and appendicitis caused by Schistosoma haematobium. Schistosomiasis is very common complication of pregnancy in hyperendemic areas. Schistosome egg masses can lodge throughout the body and cause acute inflammation of the appendix, liver and spleen. Congestion of pelvic vessels during pregnancy facilitates passage of eggs into the villi and intervillous spaces, causing an inflammatory reaction. Tourism and immigration make this disease a potential challenge for practitioners everywhere.

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