﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>BioImpacts</JournalTitle>
      <Issn>2228-5652</Issn>
      <Volume>12</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month>07</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach</ArticleTitle>
    <FirstPage>359</FirstPage>
    <LastPage>370</LastPage>
    <ELocationID EIdType="doi">10.34172/bi.2022.23769</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Ysrafil</FirstName>
        <LastName>Ysrafil</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-5980-7525</Identifier>
      </Author>
      <Author>
        <FirstName>Zulfiayu</FirstName>
        <LastName>Sapiun</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-2246-2778</Identifier>
      </Author>
      <Author>
        <FirstName>Indwiani</FirstName>
        <LastName>Astuti</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-9817-2561</Identifier>
      </Author>
      <Author>
        <FirstName>Mohammad Anas</FirstName>
        <LastName>Anasiru</LastName>
      </Author>
      <Author>
        <FirstName>Nangsih Sulastri</FirstName>
        <LastName>Slamet</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-7515-1175</Identifier>
      </Author>
      <Author>
        <FirstName>Hartati</FirstName>
        <LastName>Hartati</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-4426-6033</Identifier>
      </Author>
      <Author>
        <FirstName>Fadli</FirstName>
        <LastName>Husain</LastName>
      </Author>
      <Author>
        <FirstName>Sukmawati Ahmad</FirstName>
        <LastName>Damiti</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-1379-6864</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/bi.2022.23769</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2021</Year>
        <Month>04</Month>
        <Day>07</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2021</Year>
        <Month>08</Month>
        <Day>04</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: The current incidence of the novel coronavirus disease has shown only small reductions of cases and has become a major public health challenge. Development of effective vaccines against the virus is still being encouraged such as multi-epitope vaccines designed from the components of SARS-CoV-2 including its spike, nucleocapsid and ORF1a proteins. Since the addition of adjuvants including HABA protein and L7/L12 ribosomal are considered helpful to increase the effectiveness of the designed vaccine, we proposed to design multiepitope vaccines by two different adjuvants. Methods: We used the IEDB server to predict BCL and TCL epitopes that were characterized using online tools including VaxiJen, AllPred and IL-10 Prediction. The selected epitopes were further constructed into multiepitope vaccines. We also added two different adjuvants to the vaccine components in order to increase the effectiveness of the vaccines. The 3D-structured vaccines were built using trRosetta. They were further docked with different Toll-like-receptors (TLR 3, 4 and 8) and the entry receptor of SARS-CoV-2, ACE2 using ClusPro, PatchDock and refined by FireDock. All structures were visualized by USCF Chimera and PyMOL. Results: In this study, we succeeded in designing two different candidate vaccines by the addition of HABA protein and L7/L12 ribosomal as adjuvants. The two vaccines were almost equally good in terms of their physicochemical properties and characteristics. Likewise, their strong interactions with TLR3 4, 8 and ACE2 show the lowest energy level of both was estimated at more than -1,000. Interactions of vaccines with ACE2 and TLRs are essential for activation of immune responses and production of antibodies. Conclusion: The two designed and constructed multiepitope vaccine have good characteristics and may have the potential to activate humoral and cellular immune responses against SARS-CoV-2. Further research is worth considering to confirm the findings of this study.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">SARS-COV-2</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Immunoinformatics</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Multi-epitope vaccine candidate</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">ACE2</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>