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Bioinformatics Analysis of SARS-CoV-2 to Approach an Effective Vaccine Candidate Against COVID-19.
Sadat, Seyed Mehdi; Aghadadeghi, Mohammad Reza; Yousefi, Masoume; Khodaei, Arezoo; Sadat Larijani, Mona; Bahramali, Golnaz.
Afiliação
  • Sadat SM; Department of Hepatitis and AIDS and Blood Borne Diseases, Pasteur Institute of Iran, No: 69, Pasteur Ave, 13165, Tehran, Iran.
  • Aghadadeghi MR; Department of Hepatitis and AIDS and Blood Borne Diseases, Pasteur Institute of Iran, No: 69, Pasteur Ave, 13165, Tehran, Iran. mrasadeghi@pasteur.ac.ir.
  • Yousefi M; Department of Hepatitis and AIDS and Blood Borne Diseases, Pasteur Institute of Iran, No: 69, Pasteur Ave, 13165, Tehran, Iran.
  • Khodaei A; Department of Hepatitis and AIDS and Blood Borne Diseases, Pasteur Institute of Iran, No: 69, Pasteur Ave, 13165, Tehran, Iran.
  • Sadat Larijani M; Department of Hepatitis and AIDS and Blood Borne Diseases, Pasteur Institute of Iran, No: 69, Pasteur Ave, 13165, Tehran, Iran.
  • Bahramali G; Department of Hepatitis and AIDS and Blood Borne Diseases, Pasteur Institute of Iran, No: 69, Pasteur Ave, 13165, Tehran, Iran. gbahramali@gmail.com.
Mol Biotechnol ; 63(5): 389-409, 2021 May.
Article em En | MEDLINE | ID: mdl-33625681

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Vacinas contra COVID-19 / SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Vacinas contra COVID-19 / SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article