In silico identification of receptor specific epitopes as potential vaccine candidates from Vibrio cholerae strains

Gene Reports ◽  
2016 ◽  
Vol 4 ◽  
pp. 222-232 ◽  
Author(s):  
Nighat Noureen ◽  
Madiha Tariq ◽  
Amna Farooq ◽  
Ayesha Arif ◽  
Habib Bokhari
Keyword(s):  
Vibrio Cholerae ◽  
In Silico ◽  
Vaccine Candidates ◽  
Potential Vaccine ◽  
In Silico Identification

In Silico Identification of Probable Drug and Vaccine Candidates Against Antibiotic-Resistant Acinetobacter baumannii

2020 ◽  
Vol 26 (5) ◽  
pp. 456-467
Author(s):  
Elaheh Zadeh Hosseingholi ◽  
Gholamreza Zarrini ◽  
Marayam Pashazadeh ◽  
Seyed Mohammad Gheibi Hayat ◽  
Ghader Molavi
Keyword(s):  
Acinetobacter Baumannii ◽  
In Silico ◽  
Antibiotic Resistant ◽  
Vaccine Candidates ◽  
In Silico Identification

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.

In silico identification of epitope-based vaccine candidates against HTLV-1

2021 ◽  
pp. 1-18
Author(s):  
Hamid Reza Jahantigh ◽  
Angela Stufano ◽  
Piero Lovreglio ◽  
Seyed Abdolrahim Rezaee ◽  
Khadijeh Ahmadi
Keyword(s):  
In Silico ◽  
Vaccine Candidates ◽  
In Silico Identification
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