Immune epitope database analysis resource
Top Cited Papers
Open Access
- 18 May 2012
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 40 (W1) , W525-W530
- https://doi.org/10.1093/nar/gks438
Abstract
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.Keywords
This publication has 35 references indexed in Scilit:
- Large-scale characterization of peptide-MHC binding landscapes with structural simulationsProceedings of the National Academy of Sciences, 2011
- NetCTLpan: pan-specific MHC class I pathway epitope predictionsImmunogenetics, 2010
- OptiTope--a web server for the selection of an optimal set of peptides for epitope-based vaccinesNucleic Acids Research, 2009
- NetMHCpan, a method for MHC class I binding prediction beyond humansImmunogenetics, 2008
- Predicting linear B‐cell epitopes using string kernelsJournal of Molecular Recognition, 2008
- Immune epitope database analysis resource (IEDB-AR)Nucleic Acids Research, 2008
- A consensus epitope prediction approach identifies the breadth of murine TCD8+-cell responses to vaccinia virusNature Biotechnology, 2006
- Multiple Sequence Alignment Using ClustalW and ClustalXCurrent Protocols in Bioinformatics, 2002
- The Protein Data BankNucleic Acids Research, 2000
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical featuresBiopolymers, 1983