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Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2.
Tahir Ul Qamar, Muhammad; Shahid, Farah; Aslam, Sadia; Ashfaq, Usman Ali; Aslam, Sidra; Fatima, Israr; Fareed, Muhammad Mazhar; Zohaib, Ali; Chen, Ling-Ling.
  • Tahir Ul Qamar M; College of Life Science and Technology, Guangxi University, Nanning, P. R. China.
  • Shahid F; Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
  • Aslam S; Jinnah Hospital, Lahore, Pakistan.
  • Ashfaq UA; Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan. usmancemb@gmail.com.
  • Aslam S; Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
  • Fatima I; Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
  • Fareed MM; Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
  • Zohaib A; Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
  • Chen LL; College of Life Science and Technology, Guangxi University, Nanning, P. R. China. llchen@mail.hzau.edu.cn.
Infect Dis Poverty ; 9(1): 132, 2020 Sep 16.
Article in English | MEDLINE | ID: covidwho-768657
ABSTRACT

BACKGROUND:

Coronavirus disease 2019 (COVID-19) linked with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause severe illness and life-threatening pneumonia in humans. The current COVID-19 pandemic demands an effective vaccine to acquire protection against the infection. Therefore, the present study was aimed to design a multiepitope-based subunit vaccine (MESV) against COVID-19.

METHODS:

Structural proteins (Surface glycoprotein, Envelope protein, and Membrane glycoprotein) of SARS-CoV-2 are responsible for its prime functions. Sequences of proteins were downloaded from GenBank and several immunoinformatics coupled with computational approaches were employed to forecast B- and T- cell epitopes from the SARS-CoV-2 highly antigenic structural proteins to design an effective MESV.

RESULTS:

Predicted epitopes suggested high antigenicity, conserveness, substantial interactions with the human leukocyte antigen (HLA) binding alleles, and collective global population coverage of 88.40%. Taken together, 276 amino acids long MESV was designed by connecting 3 cytotoxic T lymphocytes (CTL), 6 helper T lymphocyte (HTL) and 4 B-cell epitopes with suitable adjuvant and linkers. The MESV construct was non-allergenic, stable, and highly antigenic. Molecular docking showed a stable and high binding affinity of MESV with human pathogenic toll-like receptors-3 (TLR3). Furthermore, in silico immune simulation revealed significant immunogenic response of MESV. Finally, MEV codons were optimized for its in silico cloning into the Escherichia coli K-12 system, to ensure its increased expression.

CONCLUSION:

The MESV developed in this study is capable of generating immune response against COVID-19. Therefore, if designed MESV further investigated experimentally, it would be an effective vaccine candidate against SARS-CoV-2 to control and prevent COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Viral Vaccines / Coronavirus Infections / Epitopes, T-Lymphocyte / Epitopes, B-Lymphocyte / Pandemics / Betacoronavirus Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Infect Dis Poverty Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Viral Vaccines / Coronavirus Infections / Epitopes, T-Lymphocyte / Epitopes, B-Lymphocyte / Pandemics / Betacoronavirus Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Infect Dis Poverty Year: 2020 Document Type: Article