- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2090-5920
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
Awad, Nourelislam
Mohamed, Rania Hassan
Ghoneim, Nehal I.
Elmehrath, Ahmed O.
El-Badri, Nagwa
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s43141-022-00344-1
- URN
-
urn:nbn:de:101:1-2022071611370489154391
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Awad, Nourelislam
- Mohamed, Rania Hassan
- Ghoneim, Nehal I.
- Elmehrath, Ahmed O.
- El-Badri, Nagwa
- SpringerLink (Online service)
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