登录
 机构网站
  1. 首页
  2. 情报产品
  3. 快讯详情

《BioRxiv，3月2日，Strategies for vaccine design for corona virus using Immunoinformatics techniques》

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

  • Strategies for vaccine design for corona virus using Immunoinformatics techniques

    Anamika Basu, Anasua Sarkar, Ujjwal Maulik

    doi: https://doi.org/10.1101/2020.02.27.967422

    Abstract

    The cutting-edge technology vaccinomics is the combination of two topics immunogenetics and immunogenomics with the knowledge of systems biology and immune profiling for designing vaccine against infectious disease. In our present study, an epitope-based peptide vaccine against nonstructural protein 4 of beta coronavirus, using a combination of B cell and T cell epitope predictions, followed by molecular docking methods are performed. Here, protein sequences of homologous nonstructural protein 4 of beta coronavirus are collected and conserved regions present in them are investigated via phylogenetic study to determine the most immunogenic part of protein.

    *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/10.1101/2020.02.27.967422v1
8浏览量
原文链接
相关报告

  • 《BioRxiv，3月3日，Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus in China (SARS-CoV-2)》
    • 来源专题：COVID-19科研动态监测
    • 编译者：zhangmin
    • 发布时间：2020-03-04
    • Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus in China (SARS-CoV-2) Ye Feng, Min Qiu, Shengmei Zou, Yun Li, Kai Luo, Rongchang Chen, Yingqiang Sun, Kui Wang, Xinlei Zhuang, Shanshan Zhang, Shuqing Chen, Fan Mo doi: https://doi.org/10.1101/2020.03.03.962332 Abstract A new coronavirus SARS-CoV-2, recently discovered in Wuhan, China, has caused over 74000 infection cases and 2000 deaths. Due to the rapidly growing cases and the unavailability of specific therapy, there is a desperate need for vaccines to combat the epidemic of SARS-CoV-2. In the present study, we performed an in silico approach based on the available virus genome to identify the antigenic B-cell epitopes and human-leukocyte-antigen (HLA) restricted T-cell epitopes. A total of 61 B-cell epitopes were initially identified, 19 of which with higher potential immunogenicity were used for vaccine design. *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.
    64浏览量
    原文链接

  • 《BioRxiv，3月23日，（第2版更新）COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning》
    • 来源专题：COVID-19科研动态监测
    • 编译者：zhangmin
    • 发布时间：2020-03-24
    • COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning Edison Ong, Mei U Wong, Anthony Huffman, Yongqun He doi: https://doi.org/10.1101/2020.03.20.000141 Abstract To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 coronavirus. Our literature and clinical trial survey showed that the whole virus, as well as the spike (S) protein, nucleocapsid (N) protein, and membrane (M) protein, have been tested for vaccine development against SARS and MERS. However, these vaccine candidates might lack the induction of complete protection and have safety concerns. We then applied the Vaxign reverse vaccinology tool and the newly developed Vaxign-ML machine learning tool to predict COVID-19 vaccine candidates. By investigating the entire proteome of SARS-CoV-2, six proteins, including the S protein and five non-structural proteins (nsp3, 3CL-pro, and nsp8-10), were predicted to be adhesins, which are crucial to the viral adhering and host invasion. The S, nsp3, and nsp8 proteins were also predicted by Vaxign-ML to induce high protective antigenicity. *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.
    24浏览量
    原文链接