Immunoinformatics approach of epitope prediction for SARS-CoV-2

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2090-5920

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Immunoinformatics approach of epitope prediction for SARS-CoV-2 ; volume:20 ; number:1 ; day:20 ; month:4 ; year:2022 ; pages:1-11 ; date:12.2022
Journal of Genetic Engineering and Biotechnology ; 20, Heft 1 (20.4.2022), 1-11, 12.2022

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

Contributor: SpringerLink (Online service)

DOI: 10.1186/s43141-022-00344-1

URN: urn:nbn:de:101:1-2022071611370489154391

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:32 AM CEST

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Awad, Nourelislam
Mohamed, Rania Hassan
Ghoneim, Nehal I.
Elmehrath, Ahmed O.
El-Badri, Nagwa
SpringerLink (Online service)

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Immunoinformatics approach of epitope prediction for SARS-CoV-2

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Other Objects (12)

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