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A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2.
Grifoni, Alba; Sidney, John; Zhang, Yun; Scheuermann, Richard H; Peters, Bjoern; Sette, Alessandro.
  • Grifoni A; Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA.
  • Sidney J; Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA.
  • Zhang Y; J. Craig Venter Institute, La Jolla, CA 92037, USA.
  • Scheuermann RH; Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA; J. Craig Venter Institute, La Jolla, CA 92037, USA; Department of Pathology, University of California, San Diego, San Diego, CA 92093, USA.
  • Peters B; Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA; Department of Medicine, University of California, San Diego, San Diego, CA 92093, USA.
  • Sette A; Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA; Department of Medicine, University of California, San Diego, San Diego, CA 92093, USA. Electronic address: alex@lji.org.
Cell Host Microbe ; 27(4): 671-680.e2, 2020 04 08.
Article in English | MEDLINE | ID: covidwho-8785
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Computational Biology / Betacoronavirus Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Cell Host Microbe Journal subject: Microbiology Year: 2020 Document Type: Article Affiliation country: J.chom.2020.03.002

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Computational Biology / Betacoronavirus Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Cell Host Microbe Journal subject: Microbiology Year: 2020 Document Type: Article Affiliation country: J.chom.2020.03.002