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《BioRxiv，3月2日，Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-03-03

  • Designing of a next generation multiepitope based vaccine (MEV) against SARS-COV-2: Immunoinformatics and in silico approaches

    Muhammad Tahir ul Qamar, Abdur Rehman, Usman Ali Ashfaq, Muhammad Qasim Awan, Israr Fatima, Farah Shahid, Ling-Ling Chen

    doi: https://doi.org/10.1101/2020.02.28.970343

    Abstract

    Coronavirus disease 2019 (COVID-19) associated pneumonia caused by severe acute respiratory coronavirus 2 (SARS-COV-2) was first reported in Wuhan, China in December 2019. Till date, no vaccine or completely effective drug is available for the cure of COVID-19. Therefore, an effective vaccine against SARS-COV-2 is needed to be design. This study was conducted to design an effective multi-epitope vaccine (MEV) against SARS-COV-2. Seven antigenic proteins were taken as a target and epitopes (B cell, IFN- γ and T cell) were predicted.

    *注，本文为预印本论文手稿，是未经同行评审的初步报告，其观点仅供科研同行交流，并不是结论性内容，请使用者谨慎使用.

  • 原文来源：https://www.biorxiv.org/content/10.1101/2020.02.28.970343v1
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