Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA.
J. Craig Venter Institute, La Jolla, CA 92037, USA.
Cell Host Microbe. 2020 Apr 8;27(4):671-680.e2. doi: 10.1016/j.chom.2020.03.002. Epub 2020 Mar 16.
Effective countermeasures against the recent emergence and rapid expansion of the 2019 novel coronavirus (SARS-CoV-2) require the development of data and tools to understand and monitor its spread and immune responses to it. However, little information is available about the targets of immune responses to SARS-CoV-2. We used the Immune Epitope Database and Analysis Resource (IEDB) to catalog available data related to other coronaviruses. This includes SARS-CoV, which has high sequence similarity to SARS-CoV-2 and is the best-characterized coronavirus in terms of epitope responses. We identified multiple specific regions in SARS-CoV-2 that have high homology to the SARS-CoV virus. Parallel bioinformatic predictions identified a priori potential B and T cell epitopes for SARS-CoV-2. The independent identification of the same regions using two approaches reflects the high probability that these regions are promising targets for immune recognition of SARS-CoV-2. These predictions can facilitate effective vaccine design against this virus of high priority.
有效应对 2019 年新型冠状病毒（SARS-CoV-2）的近期出现和快速传播，需要开发数据和工具来了解和监测其传播及其对它的免疫反应。然而，关于 SARS-CoV-2 免疫反应的靶标信息很少。我们使用免疫表位数据库和分析资源（IEDB）对与其他冠状病毒相关的现有数据进行编目。这包括 SARS-CoV，它与 SARS-CoV-2 具有很高的序列相似性，并且是在表位反应方面研究最充分的冠状病毒。我们在 SARS-CoV-2 中鉴定出多个与 SARS-CoV 病毒高度同源的特定区域。平行的生物信息学预测鉴定出 SARS-CoV-2 的潜在 B 和 T 细胞表位。这两种方法独立鉴定出相同的区域，反映出这些区域很可能是 SARS-CoV-2 免疫识别的有希望的靶标。这些预测可以促进针对这种高优先级病毒的有效疫苗设计。
