HLA-Arena: A Customizable Environment for the Structural Modeling and Analysis of Peptide-HLA Complexes for Cancer Immunotherapy
Author(s) -
Dinler A. Antunes,
Jayvee R. Abella,
Sarah Hall-Swan,
Didier Devaurs,
Anja Conev,
Mark Moll,
Gregory Lizée,
Lydia E. Kavraki
Publication year - 2020
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.19.00123
Subject(s) - workflow , human leukocyte antigen , modeller , computational biology , computer science , peptide , cancer immunotherapy , structural bioinformatics , hla a , immunotherapy , protein structure , biology , homology modeling , antigen , immune system , database , immunology , biochemistry , enzyme
HLA protein receptors play a key role in cellular immunity. They bind intracellular peptides and display them for recognition by T-cell lymphocytes. Because T-cell activation is partially driven by structural features of these peptide-HLA complexes, their structural modeling and analysis are becoming central components of cancer immunotherapy projects. Unfortunately, this kind of analysis is limited by the small number of experimentally determined structures of peptide-HLA complexes. Overcoming this limitation requires developing novel computational methods to model and analyze peptide-HLA structures.
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