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

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The Immune Epitope Database Analysis Resource (IEDB-AR) now offers 10 new computational tools for predicting and analyzing B and T cell epitopes. This update enhances epitope research with new features and upgraded existing tools.

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Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • The Immune Epitope Database (IEDB) provides a comprehensive resource for epitope data.
  • Computational tools are essential for predicting and analyzing B and T cell epitopes.

Purpose of the Study:

  • To describe the updated functionalities of the IEDB Analysis Resource (IEDB-AR).
  • To highlight the addition of 10 new computational tools for epitope prediction and analysis.
  • To report on updates to existing tools hosted on the IEDB-AR.

Main Methods:

  • The IEDB-AR website provides freely accessible computational tools.
  • Tools are available via a public website, REST API, and command-line interface.
  • A virtual machine image of the site is available for non-commercial use.

Main Results:

  • The IEDB-AR has been updated with 10 novel tools since the 2012 report.
  • Existing tools such as NetMHC, NetMHCpan, BepiPred, and DiscoTope have been updated to their newest versions.
  • The resource now offers a substantial set of updated and novel features for epitope prediction and analysis.

Conclusions:

  • The IEDB-AR provides a valuable and updated suite of computational tools for immunologists and bioinformaticians.
  • These resources facilitate advanced epitope prediction and analysis, supporting immunological research.
  • The continuous development of the IEDB-AR ensures access to state-of-the-art epitope analysis capabilities.