An immunoinformatics approach for the design of a multi-epitope subunit vaccine for urogenital schistosomiasis
| Autor: | Chiaka I. Anumudu, Olugbenga S Onile, Ameerah A. Adekunle, Bolaji Fatai Oyeyemi, Adeyinka I. Fadahunsi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Antigenicity
Bioinformatics Protein subunit In silico Immunology 030231 tropical medicine lcsh:Medicine Computational biology Biology General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Urogenital schistosomiasis Immunity Heat shock protein Receptor 030304 developmental biology chemistry.chemical_classification 0303 health sciences General Neuroscience Immunogenicity lcsh:R Computational Biology Multi epitopes Immunoinformatics General Medicine Amino acid Infectious Diseases chemistry Parasitology General Agricultural and Biological Sciences Vaccine |
| Zdroj: | PeerJ PeerJ, Vol 8, p e8795 (2020) |
| ISSN: | 2167-8359 |
| DOI: | 10.7717/peerj.8795 |
| Popis: | Discovery of T and B memory cells capable of eliciting long-term immunity against schistosomiasisis is important for people in endemic areas. Changes in schistosomes environment due to developmental cycle, induces up-regulation of Heat Shock Proteins (HSPs) which assist the parasite in coping with the hostile conditions associated with its life cycle. This study therefore focused on exploring the role of HSPs in urogenital schistosomiasis to develop new multi-epitope subunit vaccine against the disease using immunoinformatic approaches. The designed subunit vaccine was subjected to in silico antigenicity, immunogenicity, allergenicity and physicochemical parameters analysis. A 3D structure of the vaccine construct was predicted, followed by disulphide engineering for stability, codon adaptation and in silico cloning for proper expression and molecular protein–protein docking of vaccine construct in the vector against toll-like receptor 4 receptor, respectively. Consequently, a 493 amino acid multi-epitope vaccine construct of antigenicity probability of 0.91 was designed. This was predicted to be stable, non-allergenic in nature and safe for human use. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|