Introducing COVIDep - a platform for real-time reporting of vaccine target recommendations for SARS-CoV-2

COVIDep is a web-based platform that pools genetic data for SARS-CoV-2 and immunological data for the 2003 SARS virus, SARS-CoV, to identify B-cell and T-cell epitopes to serve as vaccine target recommendations for SARS-CoV-2
Published in Protocols & Methods
Introducing COVIDep - a platform for real-time reporting of vaccine target recommendations for SARS-CoV-2

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Posted on behalf of: Syed Faraz Ahmed, Ahmed A. Quadeer & Matthew R. McKay (affiliations provided below)

To the Editor — The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has brought much of the world to a virtual lockdown. As the virus continues to spread rapidly and the pandemic intensifies, the need for an effective vaccine is becoming increasingly apparent. A critical part of vaccine design is to identify targets, or epitopes, that can induce an effective immune response against SARS-CoV-2. This process is challenged by our limited understanding of this novel coronavirus and of its interplay with the human immune system.

In response to this challenge, we have developed COVIDep (, a first-of-its-kind web-based platform that pools genetic data for SARS-CoV-2 and immunological data for the 2003 SARS virus, SARS-CoV, to identify B-cell and T-cell epitopes to serve as vaccine target recommendations for SARS-CoV-2 (Fig. 1a). For T-cell epitopes, it provides estimates of population coverage, globally and for specific regions. COVIDep is flexible and user-friendly, comprising an intuitive graphical interface and interactive visualizations. In addition to producing formatted, exportable lists of the identified B-cell and T-cell epitopes and their basic characteristics, COVIDep includes displays for each of the SARS-CoV-2 proteins, showing the locations of the identified epitopes on the primary structure. Further graphical displays are provided to aid interpretation of the data, including a temporal and geographical breakdown of the analyzed sequences, and a display of the observed genetic variation (amino acid mutation frequencies) for each SARS-CoV-2 protein. The platform is updated daily, based on the latest SARS-CoV-2 sequence data in the GISAID database ( Periodic updates are important because SARS-CoV-2 sequences are being made available at an increasing rate through international data-sharing efforts, and the identification of vaccine targets is influenced by newly observed genetic variation.

Fig. 1: COVIDep provides an up-to-date set of B-cell and T-cell epitopes that can serve as potential vaccine targets for SARS-CoV-2.


a, The identified epitopes are experimentally derived from SARS-CoV and have a close genetic match with the available SARS-CoV-2 sequences (see Supplementary Figure 1 of this Nature Protocols article for a detailed protocol description). b, An example of the T-cell epitopes reported by COVIDep (as of 20 May 2020) for the spike protein of SARS-CoV-2. Here, the Search box (in the top right) was used to select only the HLA-A*02:01-restricted epitopes. (An explanation of all interactive COVIDep visualizations is incorporated in the ‘How to use COVIDep’ page of the platform.) Of the 14 epitopes listed in the display, 9 (IEDB IDs 36724, 54507, 54725, 69657, 71663, 2801, 54680, 16156 and 37289) overlap with epitopes against which cytotoxic CD8+ T-cell responses have been observed in peripheral blood mononuclear cells isolated from COVID-19 patients7,8. T-cell responses were also recorded against protein regions overlapping with the epitope with IEDB ID 71663 in a preclinical trial of a DNA vaccine candidate9.

The vaccine targets recommended by COVIDep exploit the genetic similarities between SARS-CoV-2 and SARS-CoV, along with known immune targets for SARS-CoV that have been determined experimentally (available in the ViPR database; The system implements a protocol that identifies, from among the SARS epitopes that can induce a human immune response, those that are genetically similar in SARS-CoV-2. This approach, proposed and tested in our preliminary study1 based on limited early data, identified known SARS-CoV epitopes that had an identical genetic match in SARS-CoV-2. These epitopes presented initial vaccine target recommendations for potentially eliciting a protective, cross-reactive immune response against SARS-CoV-2. Similar results were reported in a subsequent independent study2, in which a related approach exploiting genetic similarity between SARS-CoV and SARS-CoV-2 was used to identify potential SARS-CoV-2 vaccine targets.

The use of SARS-CoV immunological data to inform vaccine targets for SARS-CoV-2 is being supported by experimental results. There is evidence of cross-neutralization by SARS-CoV-derived antibodies binding to genetically similar regions of SARS-CoV-2’s spike protein3,4,5. Conversely, studies have demonstrated that specific SARS-CoV-derived antibodies that bind to the spike’s receptor-binding domain, which has significant genetic differences in SARS-CoV-2, have limited cross-reactivity6. T cell responses against spike protein epitopes that are genetically similar in SARS-CoV and SARS-CoV-2 have also been reported in COVID-19-infected patients7,8 and in a preclinical vaccine trial9 (Fig. 1b). Epitopes recommended by COVIDep have notable overlap with the findings in these and other10,11 experimental studies (see Figs. 2 and 3 in ref. 12). The recommendations provided by COVIDep may be used to broadly guide vaccine designs and associated experimental studies, and may help to expedite the discovery of an effective vaccine for COVID-19.

Data availability

The SARS-CoV-2 full genome sequence data used in COVIDep is periodically downloaded from the Global Initiative on Sharing Avian Influenza Database (GISAID; The SARS-CoV epitope sequence data was downloaded from the Virus Pathogen Database and Analysis Resource (ViPR; The population coverage statistics of HLA alleles were obtained from the Immune Epitope Database and Analysis Resource (IEDB;

Code availability

The source code for the developed platform is available at the COVIDep GitHub repository (


1. Ahmed, S. F., Quadeer, A. A. & McKay, M. R. Viruses 12, 254 (2020).

2. Grifoni, A. et al. Cell Host Microbe 27, 1–10 (2020).

3. Walls, A. C. et al. Cell 180, 1–12 (2020).

4. Wang, C. et al. Nat. Commun. 11, 2251 (2020).

5. Pinto, D. et al. Nature (2020).

6. Wrapp, D. et al. Science 367, 1260–1263 (2020).

7. Chour, W. et al. Preprint at medRxiv (2020).

8. Shomuradova, A. S. et al. Preprint at bioRxiv (2020).

9. Smith, T. R. F. et al. Nat. Commun. 11, 2601 (2020).

10. Poh, C. M. et al. Nat. Commun. 11, 2806 (2020).

11. Yin, D. et al. Preprint at bioRxiv (2020).

12. Ahmed, S. F., Quadeer, A. A. & McKay, M. R. Preprint at bioRxiv (2020).


COVIDep is made possible by the open sharing of genome sequence data of SARS-CoV-2 sequences by research groups from around the world through the GISAID platform, and the open sharing of immunological data of experimentally determined SARS-CoV epitopes through the ViPR database. We gratefully acknowledge the contributions of all the researchers, scientists and technical staff involved (a detailed acknowledgment is available at the Acknowledgments page of the COVIDep platform). We thank N. Law and K. Pang for their technical support, and R. Louie, D. Morales-Jimenez, S. Sohail, N. Kundu, A. Shah and U. Abdullah for comments and suggestions that helped to improve the web application and its interface. M.R.M. and A.A.Q. were supported by the General Research Fund of the Hong Kong Research Grants Council (RGC) (grant 16204519). S.F.A. was supported by the Hong Kong Ph.D. Fellowship Scheme (HKPFS).


Correspondence to Ahmed A. Quadeer or Matthew R. McKay.

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