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Candidate Targets for Immune Responses to 2019-Novel Coronavirus (nCoV): Sequence Homology- and Bioinformatic-Based Predictions

31 Pages Posted: 25 Feb 2020 Sneak Peek Status: Under Review

See all articles by Alba Grifoni

Alba Grifoni

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

John Sidney

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

Yun Zhang

J. Craig Venter Institute

Richard H. Scheuermann

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

Bjoern Peters

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

Alessandro Sette

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

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Abstract

Effective countermeasures against the recent emergence and rapid expansion of the 2019-Novel Coronavirus (2019-nCoV) require the development of data and tools to understand and monitor viral spread and immune responses. However, little information about the targets of immune responses to 2019-nCoV is available. We used the Immune Epitope Database and Analysis Resource (IEDB) resource to catalog available data related to other coronaviruses, including SARS-CoV, which has high sequence similarity to 2019-nCoV, and is the best-characterized coronavirus in terms of epitope responses. We identified multiple specific regions in 2019-nCoV that have high homology to SARS virus. Parallel bionformatic predictions identified a priori potential B and T cell epitopes for 2019-nCoV. The independent identification of the same regions using two approaches reflects the high probability that these regions are targets for immune recognition of 2019-nCoV.

Keywords: SARS-CoV, COVID-19, 2019-nCoV, coronavirus, T cell epitope, B cell epitope, infectious disease, sequence conservation

Suggested Citation

Grifoni, Alba and Sidney, John and Zhang, Yun and Scheuermann, Richard H. and Peters, Bjoern and Sette, Alessandro, Candidate Targets for Immune Responses to 2019-Novel Coronavirus (nCoV): Sequence Homology- and Bioinformatic-Based Predictions. CELL-HOST-MICROBE-D-20-00119. Available at SSRN: https://ssrn.com/abstract=3541361 or http://dx.doi.org/10.2139/ssrn.3541361
This is a paper under consideration at Cell Press and has not been peer-reviewed.

Alba Grifoni

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery ( email )

La Jolla, CA 92037
United States

John Sidney

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

La Jolla, CA 92037
United States

Yun Zhang

J. Craig Venter Institute

4120 Capricorn Lane
La Jolla, CA 92037
United States

Richard H. Scheuermann

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

La Jolla, CA 92037
United States

Bjoern Peters

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery

9420 Athena Cir
La Jolla, CA 92037
United States

Alessandro Sette (Contact Author)

La Jolla Institute for Allergy and Immunology (LIAI) - Division of Vaccine Discovery ( email )

La Jolla, CA 92037
United States

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