Protocols

IEDB-AR specifications

Information


Unique identifier OMICS_17446
Name IEDB-AR
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Maintained Yes

Maintainer


  • person_outline Bjoern Peters

Publication for IEDB-AR

IEDB-AR citations

 (2)
call_split

Identification and evaluation of the novel immunodominant antigen Rv2351c from Mycobacterium tuberculosis

2017
PMCID: 5520311
PMID: 28588287
DOI: 10.1038/emi.2017.34
call_split See protocol

[…] T-cell epitopes were identified using TEpredict and other prediction tools from the IEDB-AR. The FASTA format of the amino-acid sequence of Rv2351c has been submitted to TEpredict and IEDB-AR (http://tools.iedb.org/mhci/). The human major histocompatibility complex (MHC) HLA-A and HL […]

library_books

In silico Identification of Potential Peptides or Allergen Shot Candidates Against Aspergillus fumigatus

2016
PMCID: 5116691
PMID: 27872794
DOI: 10.1089/biores.2016.0035

[…] T helper (CD4+ T cells) cells induce the B cells to activate humoral immune response. Ten antigenic allergenic proteins of A. fumigatus were subjected for mapping of linear B cell epitopes using the IEDB-AR BepiPred method. The identification of B cell epitopes is important for vaccine design, diagnosis, and antibody production., B cell epitopes are antigenic determinants that are recognized by t […]

IEDB-AR institution(s)
Immune Epitope Database and Analysis Resource (IEDB-AR), La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA; Center for Biological Sequence Analysis, BioCentrum-DTU, Technical University of Denmark, Lyngby, Denmark; San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, USA
IEDB-AR funding source(s)
This work was funded by NIH contract HHSN2662004 0006C.

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