Design and Antigenic Epitopes Prediction of a New Trial Recombinant Multiepitopic Rotaviral Vaccine:<i>In Silico</i>Analyses

Jafarpour, Sima; Ayat, Hoda; Ahadi, Ali Mohammad

doi:10.1089/vim.2014.0152

Cited by 15 publications

(9 citation statements)

References 52 publications

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“…In this study, we selected three outer membrane proteins (OMP A, F and C) for designing of a proposal multiepitopic protein with effective antigenic properties as we carried out in a similar work previously [39] . It has focused on bacterial outer membrane proteins as diagnostic markers and effective candidate antigenic protein vaccine.…”

Section: Discussionmentioning

confidence: 99%

A new design and epitopes analysis for recombinant vaccine against Salmonella typhi by In silico analysis

Barzoki¹,

Ahadi

Ayat³

2018

Trends Immunother

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Nowadays, foodborne diseases are one of the main problems in the world that infect humans due to consumption of contaminated water or food. Typhoid fever is one of the major causes of illness and death in the world caused by Salmonella typhi. Vaccination is one of the most effective approaches in order to reducing the risk of disease. The main goal of this study is designing and characterization of antigenic determinants of a fusion protein originated from S.typhi usable as an effective vaccine. In this study, the outer membrane proteins of salmonella have been considered as candidates conferring protection against typhoid. Considering the evidence, OmpA, OmpF and OmpC proteins of salmonella applied in a multivalent vaccine design. Conserved motives of these proteins were selected using the CLC software and then their extracellular regions of these peptides were identified with PRED-TMBB server. Appropriate motives were combined for design of final fusion protein. Finally epitops of designed protein with high antigenic properties were identified using BCPREDS, Ellipro, ABCpred, EpiJen, NetCTL-1.2, CTLpred, TAPpred, ProPred and VaxiJen servers. Predicted designed protein in this study reached a very high scores for antigenic indexes. Encoding Genetic construction of this fusion protein could be applied for production of the recombinant OmpA.OmpF.OmpC derived fusion protein with effective antigenic properties as a new vaccine against S. typhi. Laboratory experiments and animal challenging analyses is ongoing.

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Section: Discussionmentioning

confidence: 99%

A new design and epitopes analysis for recombinant vaccine against Salmonella typhi by In silico analysis

Barzoki¹,

Ahadi

Ayat³

2018

Trends Immunother

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“…There are many methods available for predicting B cell epitopes including BepiPred, ABCpred, and BPAP (16,17). Tong used the BepiPred 1.0 server to predict 8 B cell epitopes for cockroach (CR) allergies (18).…”

Section: Discussionmentioning

confidence: 99%

Construction of a Recombinant OmpC Dominant Epitope-Based Vaccine Against Escherichia coli and Evaluation of Its Immunogenicity and Protective Immunity

Liu

Chen

et al. 2017

Jundishapur J Microbiol

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“…Lately, many predictions of peptide vaccine candidates for RNA viruses have been made due to progress in bioinformatics, for e.g. : corona virus [ [65] , [66] , [67] , [68] ], rotavirus [ [69] , [70] , [71] ], foot-and-mouth disease [ 72 , 73 ], Hepatitis C [ [74] , [75] , [76] ], influenza [ 77 , 78 ]. These are predicted using bioinformatics tools, which are based on statistics, AI and ML application to the known data sets in immunology [ 79 ].…”

Section: Peptide Vaccine For Rna Virus: How Far Have They Come?mentioning

confidence: 99%

Role of artificial intelligence in peptide vaccine design against RNA viruses

Mohanty¹,

Mohanty

2021

Informatics in Medicine Unlocked

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RNA viruses have high rate of replication and mutation that help them adapt and change according to their environmental conditions. Many viral mutants are the cause of various severe and lethal diseases. Vaccines, on the other hand have the capacity to protect us from infectious diseases by eliciting antibody or cell-mediated immune responses that are pathogen-specific. While there are a few reviews pertaining to the use of artificial intelligence (AI) for SARS-COV-2 vaccine development, none focus on peptide vaccination for RNA viruses and the important role played by AI in it. Peptide vaccine which is slowly coming to be recognized as a safe and effective vaccination strategy has the capacity to overcome the mutant escape problem which is also being currently faced by SARS-COV-2 vaccines in circulation.Here we review the present scenario of peptide vaccines which are developed using mathematical and computational statistics methods to prevent the spread of disease caused by RNA viruses. We also focus on the importance and current stage of AI and mathematical evolutionary modeling using machine learning tools in the establishment of these new peptide vaccines for the control of viral disease.

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Design and Antigenic Epitopes Prediction of a New Trial Recombinant Multiepitopic Rotaviral Vaccine:In SilicoAnalyses

Cited by 15 publications

References 52 publications

A new design and epitopes analysis for recombinant vaccine against Salmonella typhi by In silico analysis

A new design and epitopes analysis for recombinant vaccine against Salmonella typhi by In silico analysis

Construction of a Recombinant OmpC Dominant Epitope-Based Vaccine Against Escherichia coli and Evaluation of Its Immunogenicity and Protective Immunity

Role of artificial intelligence in peptide vaccine design against RNA viruses

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