Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein–Barr virus (EBV)

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Standort
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2045-2322
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
online resource.

Erschienen in
Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein–Barr virus (EBV) ; volume:9 ; number:1 ; day:24 ; month:1 ; year:2019 ; pages:1-12 ; date:12.2019
Scientific reports ; 9, Heft 1 (24.1.2019), 1-12, 12.2019

Klassifikation
Naturwissenschaften

Urheber
Ali, Arif
Khan, Abbas
Kaushik, Aman Chandra
Wang, Yanjie
Ali, Syed Shujait
Junaid, Muhammad
Saleem, Shoaib
Cho, William C. S.
Mao, Xueying
Wei, Dong-Qing
Beteiligte Personen und Organisationen
SpringerLink (Online service)

DOI
10.1038/s41598-018-37070-z
URN
urn:nbn:de:101:1-2019022223535850176932
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:45 MESZ

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Beteiligte

  • Ali, Arif
  • Khan, Abbas
  • Kaushik, Aman Chandra
  • Wang, Yanjie
  • Ali, Syed Shujait
  • Junaid, Muhammad
  • Saleem, Shoaib
  • Cho, William C. S.
  • Mao, Xueying
  • Wei, Dong-Qing
  • SpringerLink (Online service)

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