scholarly journals Genome-Wide Prediction of Potential Vaccine Candidates for Campylobacter jejuni Using Reverse Vaccinology

2017 ◽  
Vol 11 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Richa Jain ◽  
Sarita Singh ◽  
Santosh kumar Verma ◽  
Ankit Jain
Keyword(s):  
Campylobacter Jejuni ◽  
Reverse Vaccinology ◽  
Vaccine Candidates ◽  
Genome Wide ◽  
Potential Vaccine

scholarly journals Identification of Novel Vaccine Candidates againstCampylobacterthrough Reverse Vaccinology

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Marine Meunier ◽  
Muriel Guyard-Nicodème ◽  
Edouard Hirchaud ◽  
Alberto Parra ◽  
Marianne Chemaly ◽  
...  
Keyword(s):  
Campylobacter Jejuni ◽  
Reverse Vaccinology ◽  
Poultry Meat ◽  
Campylobacter Coli ◽  
The European Union ◽  
Vaccine Candidates ◽  
Vaccine Antigens ◽  
Potential Vaccine

Campylobacteriosis is the most prevalent bacterial foodborne gastroenteritis affecting humans in the European Union. Human cases are mainly due toCampylobacter jejuniorCampylobacter coli, and contamination is associated with the handling and/or consumption of poultry meat. In fact, poultry constitutes the bacteria’s main reservoir. A promising way of decreasing the incidence of campylobacteriosis in humans would be to decrease avian colonization. Poultry vaccination is of potential for this purpose. However, despite many studies, there is currently no vaccine available on the market to reduce the intestinalCampylobacterload in chickens. It is essential to identify and characterize new vaccine antigens. This study applied the reverse vaccinology approach to detect new vaccine candidates. The main criteria used to select immune proteins were localization, antigenicity, and number of B-epitopes. Fourteen proteins were identified as potential vaccine antigens.In vitroandin vivoexperiments now need to be performed to validate the immune and protective power of these newly identified antigens.

scholarly journals Reverse vaccinology approach for the identifications of potential vaccine candidates against Salmonella

2021 ◽  
pp. 151508
Author(s):  
Jie Li ◽  
Jingxuan Qiu ◽  
Zhiqiang Huang ◽  
Tao Liu ◽  
Jing Pan ◽  
...  
Keyword(s):  
Reverse Vaccinology ◽  
Vaccine Candidates ◽  
Potential Vaccine

scholarly journals ReVac: a reverse vaccinology computational pipeline for prioritization of prokaryotic protein vaccine candidates

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Adonis D’Mello ◽  
Christian P. Ahearn ◽  
Timothy F. Murphy ◽  
Hervé Tettelin
Keyword(s):  
Machine Learning ◽  
Experimental Testing ◽  
Negative Control ◽  
Reverse Vaccinology ◽  
Learning Approaches ◽  
Protein Vaccine ◽  
Vaccine Candidates ◽  
Variable Expression ◽  
Prediction Tools ◽  
Potential Vaccine

Abstract Background Reverse vaccinology accelerates the discovery of potential vaccine candidates (PVCs) prior to experimental validation. Current programs typically use one bacterial proteome to identify PVCs through a filtering architecture using feature prediction programs or a machine learning approach. Filtering approaches may eliminate potential antigens based on limitations in the accuracy of prediction tools used. Machine learning approaches are heavily dependent on the selection of training datasets with experimentally validated antigens (positive control) and non-protective-antigens (negative control). The use of one or few bacterial proteomes does not assess PVC conservation among strains, an important feature of vaccine antigens. Results We present ReVac, which implements both a panoply of feature prediction programs without filtering out proteins, and scoring of candidates based on predictions made on curated positive and negative control PVCs datasets. ReVac surveys several genomes assessing protein conservation, as well as DNA and protein repeats, which may result in variable expression of PVCs. ReVac’s orthologous clustering of conserved genes, identifies core and dispensable genome components. This is useful for determining the degree of conservation of PVCs among the population of isolates for a given pathogen. Potential vaccine candidates are then prioritized based on conservation and overall feature-based scoring. We present the application of ReVac, applied to 69 Moraxella catarrhalis and 270 non-typeable Haemophilus influenzae genomes, prioritizing 64 and 29 proteins as PVCs, respectively. Conclusion ReVac’s use of a scoring scheme ranks PVCs for subsequent experimental testing. It employs a redundancy-based approach in its predictions of features using several prediction tools. The protein’s features are collated, and each protein is ranked based on the scoring scheme. Multi-genome analyses performed in ReVac allow for a comprehensive overview of PVCs from a pan-genome perspective, as an essential pre-requisite for any bacterial subunit vaccine design. ReVac prioritized PVCs of two human respiratory pathogens, identifying both novel and previously validated PVCs.

scholarly journals PanRV: Pangenome-reverse vaccinology approach for identifications of potential vaccine candidates in microbial pangenome

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kanwal Naz ◽  
Anam Naz ◽  
Shifa Tariq Ashraf ◽  
Muhammad Rizwan ◽  
Jamil Ahmad ◽  
...  
Keyword(s):  
Reverse Vaccinology ◽  
Vaccine Candidates ◽  
Potential Vaccine

Identification of peritrophins as potential vaccine candidates against sea lice: A reverse vaccinology approach

2019 ◽  
Vol 91 ◽  
pp. 393
Author(s):  
A. Casuso ◽  
G. Núñez-Acuña ◽  
V. Valenzuela-Muñoz ◽  
Y. Leal ◽  
C. Gallardo-Escárate
Keyword(s):  
Reverse Vaccinology ◽  
Sea Lice ◽  
Vaccine Candidates ◽  
Potential Vaccine

scholarly journals Preliminary Work Towards Finding Proteins as Potential Vaccine Candidates for Vibrio cholerae Pakistani Isolates through Reverse Vaccinology

Medicina ◽  
2019 ◽  
Vol 55 (5) ◽  
pp. 195 ◽  
Author(s):  
Samia Zeb ◽  
Amjad Ali ◽  
Sardar Muhammad Gulfam ◽  
Habib Bokhari
Keyword(s):  
Vibrio Cholerae ◽  
Tertiary Structure ◽  
Diarrheal Disease ◽  
Vaccine Development ◽  
Protein A ◽  
Reverse Vaccinology ◽  
Whole Genome Sequence ◽  
Effective Vaccine ◽  
Vaccine Candidates ◽  
Potential Vaccine

Background and Objective: Vibrio cholerae continues to emerge as a dangerous pathogen because of increasing resistance to a number of antibiotics. This paper provides a solution to emerging antibiotic resistance by introducing novel proteins as vaccine candidates against cholera. Materials and Methods: Vibrio cholerae genome versatility is a hurdle for developing a vaccine to combat diarrhoeal infection, so its core gene information was used to determine a potential vaccine candidate. Whole genome sequence data of more than 100 Vibrio cholerae strains were used simultaneously to get core genome information. The VacSol pipeline based on reverse vaccinology was selected to address the problem of safe, cheap, temperature-stable, and effective vaccine candidates which can be used for vaccine development against Vibrio cholerae. VacSol screens vaccine candidates using integrated, well-known, and robust algorithms/tools for proteome analysis. The proteomes of the pathogens were initially screened to predict homology using BLASTp. Proteomes that are non-homologous to humans are then subjected to a predictor for localization. Helicer predicts transmembrane helices for the protein. Proteins failing to comply with the set parameters were filtered at each step, and finally, 11 proteins were filtered as vaccine candidates. Results: This selected group of vaccine candidates consists of proteins from almost all structural parts of Vibrio cholerae. Their blast results show that this filtered group includes flagellin A protein, a protein from the Zn transporter system, a lipocarrier outer membrane protein, a peptidoglycan-associated protein, a DNA-binding protein, a chemotaxis protein, a tRNA Pseuriudine synthase A, and two selected proteins, which were beta lactamases. The last two uncharacterized proteins possess 100% similarity to V. albensis and Enterobacter, respectively. Tertiary structure and active site determination show a large number of pockets on each protein. Conclusions: The most interesting finding of this study is that 10 proteins out of 11 filtered proteins are introduced as novel potential vaccine candidates. These novel vaccine candidates can result in the development of cost-effective and broad-spectrum vaccines which can be used in countries where cholera is a major contributor to diarrheal disease.

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