Immune epitope database analysis resource
Publication: Research - peer-review › Journal article – Annual report year: 2012
The immune epitope database analysis resource (IEDB-AR: http://tools.iedb.org) is a collection of tools for prediction and analysis of molecular targets of T- and B-cell immune responses (i.e. epitopes). Since its last publication in the NAR webserver issue in 2008, a new generation of peptide:MHC binding and T-cell epitope predictive tools have been added. As validated by different labs and in the first international competition for predicting peptide:MHC-I binding, their predictive performances have improved considerably. In addition, a new B-cell epitope prediction tool was added, and the homology mapping tool was updated to enable mapping of discontinuous epitopes onto 3D structures. Furthermore, to serve a wider range of users, the number of ways in which IEDB-AR can be accessed has been expanded. Specifically, the predictive tools can be programmatically accessed using a web interface and can also be downloaded as software packages.
| Original language | English |
|---|---|
| Journal | Nucleic Acids Research |
| Publication date | 2012 |
| Volume | 40 |
| Journal number | W1 |
| Pages | W525-W530 |
| ISSN | 0305-1048 |
| DOIs | |
| State | Published |
| Citations | Web of Science® Times Cited: 2 |
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Keywords
- immune epitope database analysis resource, immune response, MHC-I, MHC-II, peptide, 00530, General biology - Information, documentation, retrieval and computer applications, 02506, Cytology - Animal, 10064, Biochemistry studies - Proteins, peptides and amino acids, 15002, Blood - Blood and lymph studies, 15004, Blood - Blood cell studies, 34502, Immunology - General and methods, Chemical Coordination and Homeostasis, Computational Biology, B-cell immune system, blood and lymphatics, T-cell immune system, blood and lymphatics, computer software package computer software, epitope prediction tool mathematical and computer techniques, homology mapping tool mathematical and computer techniques, Computer Applications, Immune System
ID: 35963178