Immune epitope database analysis resource (IEDB-AR)

By Qing Zhang, Peng Wang, Yohan Kim, Pernille Haste-Andersen, John E. Beaver, Philip E. Bourne, H. Bui, Søren Buus, Sune Frankild, J. Greenbaum and 7 more. Nucleic Acids Res., 2008

391 citations recorded by the source corpus.

We present a new release of the immune epitope database analysis resource (IEDB-AR, http://tools.immuneepitope.org), a repository of web-based tools for the prediction and analysis of immune epitopes. New functionalities have been added to most of the previously implemented tools, and a total of eight new tools were added, including two B-cell epitope prediction tools, four T-cell epitope prediction tools and two analysis tools.

Subfields: Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/427b3ae5597512bc13ff5a3f9dac7f35603c2875

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Immunology

1. Bjoern Peters
2. Morten Nielsen
3. Alessandro Sette
4. Sinu Paul
5. Ole Lund
6. Swapnil Mahajan
7. Sandeep Kumar Dhanda
8. John Sidney

In Molecular Biology

1. Morten Nielsen
2. Bjoern Peters
3. Alessandro Sette
4. Ole Lund
5. Sinu Paul
6. Swapnil Mahajan
7. Sandeep Kumar Dhanda
8. J. Greenbaum

In Radiology, Nuclear Medicine and Imaging

1. Bjoern Peters
2. Morten Nielsen
3. Alessandro Sette
4. Sinu Paul
5. Claus Lundegaard
6. Ole Lund
7. John Sidney
8. Swapnil Mahajan

Citations in the corpus

• The Immune Epitope Database 2.0 (2009, methodology): “Additionally, the database houses analysis tools related to immune epitopes (12).”
• Immune epitope database analysis resource (2012, background): “Since its publication in the NAR webserver issue in 2008 (1), major updates and the addition of new predictive tools have been made.”
• Peptide binding predictions for HLA DR, DP and DQ molecules (2010, methodology): “[16] on which also the TEPITOPE predictions are based) were the top performing ones and were incorporated into the MHC class II binding prediction component of the IEDB analysis resource [21].”
• A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction (2020, background): “…including peptide sequences, source proteins where peptides were derived from, binding experimental results and the type of HLA molecules that the peptides bound to, from the latest versions of several widely used public databases including IEDB [57], SYFPEITHI [22], MHCBN [58] and EPIMHC [59].”
• The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design (2017, methodology): “The tools in the Analysis Resource1 (1, 2) fall into two general categories: prediction and analysis tools.”