Literature DB >> 29253673

Structural vaccinology considerations for in silico designing of a multi-epitope vaccine.

Manica Negahdaripour1, Navid Nezafat2, Mahboobeh Eslami2, Mohammad Bagher Ghoshoon1, Eskandar Shoolian3, Sohrab Najafipour4, Mohammad Hossein Morowvat1, Ali Dehshahri1, Nasrollah Erfani5, Younes Ghasemi6.   

Abstract

Multi-epitope peptide vaccines, as a kind of fusion proteins, usually possess a string-of-beads structure, consisting of several peptidic epitopes, probably adjuvants and linkers. Very numerous options are possible in selecting the order of different segments and linkers. Such factors can affect the vaccine efficacy through impacting physicochemical characteristics and protein tertiary structure. To investigate such relations, eleven different constructs were designed and studied as a multi-epitope prophylaxis vaccine for human papilloma virus (HPV). The vaccine contained two epitopes from the minor protein of virus capsid (L2) of HPV16, two TLR agonists as adjuvants (flagellin and RS09, as TLR5 and TLR4 agonists, respectively), and two universal T-helper epitopes. Since the used TLR4 agonist was inserted in the middle of the construct, its appropriate interaction with the bulky TLR4 was a serious concern. Thus, beyond evaluating the physicochemical properties, secondary and tertiary structures, and conformational B-cell epitopes of the designed constructs, TLR4 agonist exposability was also studied. Besides, the interaction between TLR4 and its agonist was investigated through docking and MD studies. Consequently, one structure ("D") with proper physicochemical features, a high frequency of conformational B-cell epitopes, and appropriate interactions with TLR4 and TLR5 in docking and MD studies, was selected as a proper candidate. Accordingly, for in silico designing of multi-epitope vaccines, structural concerns should be considered, and the linkers and arrangement of epitopes and adjuvants should be optimized. Considering the diversity of the possible structures, devising computational tools for such investigations would be very valuable.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioinformatics; HPV vaccine; Linker; Multi-epitope vaccine; String-of-beads vaccine; Structural vaccinology

Mesh:

Substances:

Year:  2017        PMID: 29253673     DOI: 10.1016/j.meegid.2017.12.008

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


  21 in total

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2.  Identification of Antigenic Properties of Acinetobacter baumannii Proteins as Novel Putative Vaccine Candidates Using Reverse Vaccinology Approach.

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Review 6.  Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review.

Authors:  Ehsan Raoufi; Maryam Hemmati; Samane Eftekhari; Kamal Khaksaran; Zahra Mahmodi; Mohammad M Farajollahi; Monireh Mohsenzadegan
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7.  Immunoinformatics Design of Multi-Epitope Peptide-Based Vaccine Against Schistosoma mansoni Using Transmembrane Proteins as a Target.

Authors:  Rodrigo C O Sanches; Sandeep Tiwari; Laís C G Ferreira; Flávio M Oliveira; Marcelo D Lopes; Maria J F Passos; Eduardo H B Maia; Alex G Taranto; Rodrigo Kato; Vasco A C Azevedo; Debora O Lopes
Journal:  Front Immunol       Date:  2021-03-02       Impact factor: 7.561

8.  Immunogenomics guided design of immunomodulatory multi-epitope subunit vaccine against the SARS-CoV-2 new variants, and its validation through in silico cloning and immune simulation.

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Journal:  Comput Biol Med       Date:  2021-04-24       Impact factor: 6.698

9.  Design of a multi-epitope vaccine against cervical cancer using immunoinformatics approaches.

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Journal:  Sci Rep       Date:  2021-06-11       Impact factor: 4.379

10.  An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes.

Authors:  Md Anik Ashfaq Khan; Jenifar Quaiyum Ami; Khaledul Faisal; Rajashree Chowdhury; Prakash Ghosh; Faria Hossain; Ahmed Abd El Wahed; Dinesh Mondal
Journal:  Parasit Vectors       Date:  2020-04-15       Impact factor: 3.876

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