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Correction: Immunoinformatics approach of epitope prediction for SARS-CoV-2

Journal of Genetic Engineering and Biotechnology volume 20, Article number: 69 (2022) Cite this article

The Original Article was published on 20 April 2022

Correction: J Genet Eng Biotechnol 20, 60 (2022)

https://doi.org/10.1186/s43141-022-00344-1

Following publication of the original article [1], the authors identified an error in the HTML version of Fig. 1. The publisher apologise for this error. The correct figure is given hereafter.

Fig. 1
figure 1

The crystal structures of 5YXN and 4PRP. a 5YXN MHC molecule on the right side and TCR chains on the left side. b 4PRP MHC molecule on the right side, and TCR chains are on the left side. (white arrows indicate the co-crystalized epitopes)

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The original article [1] has been corrected.

Reference

  1. Awad N, Mohamed RH, Ghoneim NI et al (2022) Immunoinformatics approach of epitope prediction for SARS-CoV-2. J Genet Eng Biotechnol 20:60. https://doi.org/10.1186/s43141-022-00344-1

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Authors and Affiliations

  1. Center of Excellence for Stem Cells and Regenerative Medicine (CESC), Zewail City of Science and Technology, Giza, Egypt

    Nourelislam Awad, Rania Hassan Mohamed, Nehal I. Ghoneim, Ahmed O. Elmehrath & Nagwa El-Badri

  2. Center of Informatics Sciences, Nile University, Giza, Egypt

    Nourelislam Awad

  3. Department of Biochemistry, Faculty of Science, Ain Shams University, Cairo, Egypt

    Rania Hassan Mohamed

  4. Faculty of Medicine, Cairo University, Cairo, Egypt

    Ahmed O. Elmehrath

Authors
  1. Nourelislam Awad
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  2. Rania Hassan Mohamed
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  3. Nehal I. Ghoneim
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  4. Ahmed O. Elmehrath
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  5. Nagwa El-Badri
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Corresponding author

Correspondence to Nagwa El-Badri.

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Awad, N., Mohamed, R.H., Ghoneim, N.I. et al. Correction: Immunoinformatics approach of epitope prediction for SARS-CoV-2. J Genet Eng Biotechnol 20, 69 (2022). https://doi.org/10.1186/s43141-022-00350-3

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  • DOI: https://doi.org/10.1186/s43141-022-00350-3