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A Dataset of Experimental HLA-B*2705 Peptide Binding Affinities
Joint Authors
Doytchinova, Irini A.
Flower, Darren R.
Hattotuwagama, Channa K.
Walshe, Valerie A.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
T-cell epitopes form the basis of many vaccines, diagnostics, and reagents.
Current methods for the in silico identification of T-cell epitopes rely, in the main, on the accurate quantitative prediction of peptide-Major Histocompatibility Complex (pMHC) affinity using data-driven computational approaches.
Here, we describe a dataset of experimentally determined pMHC binding affinities for the problematic human class I allele HLA-B*2705.
Using an in-house, FACS-based, MHC stabilization assay, we measured binding of 223 peptides.
This dataset includes both nonbinding and binding peptides, with measured affinities (expressed as −log10 of the half-maximal binding level) ranging from 1.2 to 7.4.
This dataset should provide a useful independent benchmark for new and existing methods for predicting peptide binding to HLA-B*2705.
American Psychological Association (APA)
Walshe, Valerie A.& Hattotuwagama, Channa K.& Doytchinova, Irini A.& Flower, Darren R.. 2014. A Dataset of Experimental HLA-B*2705 Peptide Binding Affinities. Dataset Papers in Science،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-507694
Modern Language Association (MLA)
Walshe, Valerie A.…[et al.]. A Dataset of Experimental HLA-B*2705 Peptide Binding Affinities. Dataset Papers in Science No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-507694
American Medical Association (AMA)
Walshe, Valerie A.& Hattotuwagama, Channa K.& Doytchinova, Irini A.& Flower, Darren R.. A Dataset of Experimental HLA-B*2705 Peptide Binding Affinities. Dataset Papers in Science. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-507694
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507694