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. 2019 Jul 2;47(W1):W502-W506.
doi: 10.1093/nar/gkz452.

IEDB-AR: immune epitope database-analysis resource in 2019

Sandeep Kumar Dhanda  1 , Swapnil Mahajan  1 , Sinu Paul  1 , Zhen Yan  1 , Haeuk Kim  1 , Martin Closter Jespersen  2 , Vanessa Jurtz  2 , Massimo Andreatta  2   3 , Jason A Greenbaum  1 , Paolo Marcatili  2 , Alessandro Sette  1   4 , Morten Nielsen  2   3 , Bjoern Peters  1   4
Affiliations

IEDB-AR: immune epitope database-analysis resource in 2019

Sandeep Kumar Dhanda et al. Nucleic Acids Res. .

Abstract

The Immune Epitope Database Analysis Resource (IEDB-AR, http://tools.iedb.org/) is a companion website to the IEDB that provides computational tools focused on the prediction and analysis of B and T cell epitopes. All of the tools are freely available through the public website and many are also available through a REST API and/or a downloadable command-line tool. A virtual machine image of the entire site is also freely available for non-commercial use and contains most of the tools on the public site. Here, we describe the tools and functionalities that are available in the IEDB-AR, focusing on the 10 new tools that have been added since the last report in the 2012 NAR webserver edition. In addition, many of the tools that were already hosted on the site in 2012 have received updates to newest versions, including NetMHC, NetMHCpan, BepiPred and DiscoTope. Overall, this IEDB-AR update provides a substantial set of updated and novel features for epitope prediction and analysis.

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References

    1. Vita R., Mahajan S., Overton J.A., Dhanda S.K., Martini S., Cantrell J.R., Wheeler D.K., Sette A., Peters B.. The Immune Epitope Database (IEDB): 2018 update. Nucleic Acids Res. 2019; 47:D339–D343. - PMC - PubMed
    1. Fleri W., Paul S., Dhanda S.K., Mahajan S., Xu X., Peters B., Sette A.. The immune epitope database and analysis resource in epitope discovery and synthetic vaccine design. Front. Immunol. 2017; 8:278. - PMC - PubMed
    1. Dhanda S.K., Grifoni A., Pham J., Vaughan K., Sidney J., Peters B., Sette A.. Development of a strategy and computational application to select candidate protein analogues with reduced HLA binding and immunogenicity. Immunology. 2018; 153:118–132. - PMC - PubMed
    1. Kim Y., Ponomarenko J., Zhu Z., Tamang D., Wang P., Greenbaum J., Lundegaard C., Sette A., Lund O., Bourne P.E. et al. .. Immune epitope database analysis resource. Nucleic Acids Res. 2012; 40:W525–W530. - PMC - PubMed
    1. Paul S., Sidney J., Sette A., Peters B.. TepiTool: a pipeline for computational prediction of T cell epitope candidates. Curr. Protoc. Immunol. 2016; 114:18.19.11–18.19.24. - PMC - PubMed

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