In silico identification of outer membrane protein (Omp) and subunit vaccine design against pathogenic Vibrio cholerae. (December 2016)
- Record Type:
- Journal Article
- Title:
- In silico identification of outer membrane protein (Omp) and subunit vaccine design against pathogenic Vibrio cholerae. (December 2016)
- Main Title:
- In silico identification of outer membrane protein (Omp) and subunit vaccine design against pathogenic Vibrio cholerae
- Authors:
- Rauta, Pradipta Ranjan
Ashe, Sarbani
Nayak, Debasis
Nayak, Bismita - Abstract:
- Graphical abstract: Highlights: Computational approaches were used to identify epitopes for vaccine development against Vibriocholerae . The epitopes were identified by the strategy that combine both B-cell and T-cell epitope prediction. Identified epitope (9 mer: YKSISPQDA) can be useful in designing broad spectrum peptide vaccine development. Abstract: Virulence-related outer membrane proteins (Omps) are expressed in bacteria (Gram-negative) such as V. cholerae and are vital to bacterial invasion in to eukaryotic cell and survival within macrophages that could be best candidate for development of vaccine against V. cholerae . Applying in silico approaches, the 3-D model of the Omp was developed using Swiss model server and validated byProSA and Procheck web server. The continuous stretch of amino acid sequences 26 mer: RTRSNSGLLTWGDKQTITLEYGDPAL and 31 mer: FFAGGDNNLRGYGYKSISPQDASGALTGAKY having B-cell binding sites were selected from sequence alignment after B cell epitopes prediction by BCPred and AAP prediction modules of BCPreds. Further, the selected antigenic sequences (having B-cell epitopes) were analyzed for T-cell epitopes (MHC I and MHC II alleles binding sequence) by using ProPred 1 and ProPred respectively. The epitope (9 mer: YKSISPQDA) that binds to both the MHC classes (MHC I and MHC II) and covers maximum MHC alleles were identified. The identified epitopes can be useful in designing comprehensive peptide vaccine development against V. cholerae by inducingGraphical abstract: Highlights: Computational approaches were used to identify epitopes for vaccine development against Vibriocholerae . The epitopes were identified by the strategy that combine both B-cell and T-cell epitope prediction. Identified epitope (9 mer: YKSISPQDA) can be useful in designing broad spectrum peptide vaccine development. Abstract: Virulence-related outer membrane proteins (Omps) are expressed in bacteria (Gram-negative) such as V. cholerae and are vital to bacterial invasion in to eukaryotic cell and survival within macrophages that could be best candidate for development of vaccine against V. cholerae . Applying in silico approaches, the 3-D model of the Omp was developed using Swiss model server and validated byProSA and Procheck web server. The continuous stretch of amino acid sequences 26 mer: RTRSNSGLLTWGDKQTITLEYGDPAL and 31 mer: FFAGGDNNLRGYGYKSISPQDASGALTGAKY having B-cell binding sites were selected from sequence alignment after B cell epitopes prediction by BCPred and AAP prediction modules of BCPreds. Further, the selected antigenic sequences (having B-cell epitopes) were analyzed for T-cell epitopes (MHC I and MHC II alleles binding sequence) by using ProPred 1 and ProPred respectively. The epitope (9 mer: YKSISPQDA) that binds to both the MHC classes (MHC I and MHC II) and covers maximum MHC alleles were identified. The identified epitopes can be useful in designing comprehensive peptide vaccine development against V. cholerae by inducing optimal immune response. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 65(2016)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 65(2016)
- Issue Display:
- Volume 65, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 65
- Issue:
- 2016
- Issue Sort Value:
- 2016-0065-2016-0000
- Page Start:
- 61
- Page End:
- 68
- Publication Date:
- 2016-12
- Subjects:
- B-Cell epitope -- T-Cell epitope -- MHC -- Homology modeling
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2016.10.004 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
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British Library STI - ELD Digital store - Ingest File:
- 7632.xml