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《Nature，5月6日，Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-05-07

  • Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2

    Kazuma Kiyotani, Yujiro Toyoshima, Kensaku Nemoto & Yusuke Nakamura

    Journal of Human Genetics (2020)

    Abstract

    To control and prevent the current COVID-19 pandemic, the development of novel vaccines is an emergent issue. In addition, we need to develop tools that can measure/monitor T-cell and B-cell responses to know how our immune system is responding to this deleterious virus. However, little information is currently available about the immune target epitopes of novel coronavirus (SARS-CoV-2) to induce host immune responses. Through a comprehensive bioinformatic screening of potential epitopes derived from the SARS-CoV-2 sequences for HLAs commonly present in the Japanese population, we identified 2013 and 1399 possible peptide epitopes that are likely to have the high affinity (<0.5%- and 2%-rank, respectively) to HLA class I and II molecules, respectively, that may induce CD8+ and CD4+ T-cell responses.

  • 原文来源：https://www.nature.com/articles/s10038-020-0771-5
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