Literature DB >> 32298854

Computer aided novel antigenic epitopes selection from the outer membrane protein sequences of Aeromonas hydrophila and its analyses.

Manojit Bhattacharya1, Ashish Ranjan Sharma2, Garima Sharma3, Prasanta Patra4, Niladri Mondal4, Bidhan Chandra Patra4, Sang-Soo Lee5, Chiranjib Chakraborty6.   

Abstract

OBJECTIVES: Gram-negative bacteria are among the causative microorganisms for zoonotic diseases in humans and teleosts. Outer membrane proteins (Omps) of Aeromonas hydrophila, a gram-negative bacterium, are critical for the subcellular integration to eukaryotic cell that can modulate the functions of macrophages. Hence Omps are recognized as immune markers for the vaccine development.
METHODS: In the present study, a 3-D model of Omps was identified using in silico technique and recognized through the Swiss model web-server and confirmed with Procheck and ProSA server.. The B-cell binding sites of the protein were selected from sequence alignment.. Further, the identification of B-cell epitope was carried out using modules of BCpred server (i.e., BCPred and Amino Acid Pairs). The identified antigenic amino acid sequences for B-cells were used to determine the T-cell epitope (both MHC I & II allelic binding sequences) using ProPred 1 and ProPred servers.
RESULTS: The epitopic regions (9 mer: LAGKTTNES and GFDGSQYGK) in the Omps that are bound together with the MHC molecules (MHC-I & II), and have maximum possible numbers of MHC alleles are recognized. It was observed that Omps of A. hydrophila are conserved across the serotypes and are immunogenic. These epitopes can stimulate significant immune responses and can be advantageous while preparing peptide-based vaccines against A. hydrophila infections. Thus, suggesting the use of Omps in the development of vaccines and immunotherapeutics against the bacterial diseases in humans and teleosts.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Allele; Disease; Epitopic region; In-silico; Outer membrane proteins

Year:  2020        PMID: 32298854     DOI: 10.1016/j.meegid.2020.104320

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  4 in total

1.  In-Silico Vaccine Design Based on a Novel Vaccine Candidate Against Infections Caused by Acinetobacter baumannii.

Authors:  Kashaf Khalid; Sidra Irum; Sidra Rahmat Ullah; Saadia Andleeb
Journal:  Int J Pept Res Ther       Date:  2021-12-02       Impact factor: 1.931

2.  Validation of a yellow fever vaccine model using data from primary vaccination in children and adults, re-vaccination and dose-response in adults and studies with immunocompromised individuals.

Authors:  Carla Rezende Barbosa Bonin; Guilherme Côrtes Fernandes; Reinaldo de Menezes Martins; Luiz Antonio Bastos Camacho; Andréa Teixeira-Carvalho; Licia Maria Henrique da Mota; Sheila Maria Barbosa de Lima; Ana Carolina Campi-Azevedo; Olindo Assis Martins-Filho; Rodrigo Weber Dos Santos; Marcelo Lobosco
Journal:  BMC Bioinformatics       Date:  2020-12-14       Impact factor: 3.169

3.  A Novel Multi-Epitopic Peptide Vaccine Candidate Against Helicobacter pylori: In-Silico Identification, Design, Cloning and Validation Through Molecular Dynamics.

Authors:  Pratik Ghosh; Swarnav Bhakta; Manojit Bhattacharya; Ashish Ranjan Sharma; Garima Sharma; Sang-Soo Lee; Chiranjib Chakraborty
Journal:  Int J Pept Res Ther       Date:  2021-01-20       Impact factor: 1.931

4.  Evaluation and Designing of Epitopic-Peptide Vaccine Against Bunyamwera orthobunyavirus Using M-Polyprotein Target Sequences.

Authors:  Pratik Ghosh; Manojit Bhattacharya; Prasanta Patra; Garima Sharma; Bidhan Chandra Patra; Sang-Soo Lee; Ashish Ranjan Sharma; Chiranjib Chakraborty
Journal:  Int J Pept Res Ther       Date:  2021-11-29       Impact factor: 1.931

  4 in total

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