Evidence map›Paper›PMID 32183941›Full record

ArticleCell host & microbe2020

A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2.

Alba Grifoni, John Sidney, Yun Zhang, Richard H Scheuermann, Bjoern Peters, Alessandro Sette

Abstract read
In one paragraph

Article in Cell host & microbe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 653 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
653citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

653 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Frontiers in microbiology · 2026
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  18. Detection of Gliadin-Activated CD4Journal of cellular and molecular medicine · 2025
    Article
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593 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alba GrifoniDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA.
John SidneyDivision of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA 92037, USA.
Yun ZhangJ. Craig Venter Institute, La Jolla, CA 92037, USA.
Richard H ScheuermannDivision 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.
Bjoern PetersDivision 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.
Alessandro SetteDivision 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.

Funding

BIOINFORMATICS RESOURCE CENTERS FOR INFECTIOUS DISEASES: SARS-CoV-2 ACTIVITIES75N93019C00076 · NIAID · UNIVERSITY OF CHICAGO · PI STEVENS, RICK · 2019 to 2023
$32.6M
IMMUNE EPITOPE AND ANALYSIS PROGRAM: Transplantation of organs, tissues and cells 75N93019C00001 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI WILSON, STEPHEN · 2019 to 2025
$23.1M
Large Scale T Cell Epitope Discovery:Global identification of epitopes derived from Zika (ZIKV), Chikungunya (CHIKV) viruses following natural infection and vaccination75N93019C00065 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI MITCHELL, MAYA · 2019 to 2023
$7.3M
NIAID NIH HHS 75N93019C00001NIAID NIH HHS 75N93019C00065NIAID NIH HHS 75N93019C00076
6 · The paper itself

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.

Indexed as

Computational BiologyBetacoronavirusCoronavirus InfectionsCOVID-19Databases, ProteinEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansPandemicsPneumonia, ViralSARS-CoV-2Sequence HomologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteB cell epitopecoronavirusCOVID-19infectious diseaseSARS-CoVSARS-CoV-2sequence conservationT cell epitope

Identifiers

PMID32183941
PMCPMC7142693

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.