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6JQ3

Crystal Structure of H2-Kb in complex with a DPAGT1 mutant peptide

Summary for 6JQ3
Entry DOI10.2210/pdb6jq3/pdb
DescriptorH-2 class I histocompatibility antigen, K-B alpha chain, DPAGT1 mutant antigen SIIVFNLL, Beta-2-microglobulin, ... (4 entities in total)
Functional Keywordsmajor histocompatibility complex, h2-kb, antigen, mouse, mhc, immune system
Biological sourceMus musculus (Mouse)
More
Total number of polymer chains3
Total formula weight44226.80
Authors
Bai, P.,Zhou, Q.,Wei, P.,Yin, L. (deposition date: 2019-03-28, release date: 2020-05-06, Last modification date: 2024-11-06)
Primary citationBai, P.,Li, Y.,Zhou, Q.,Xia, J.,Wei, P.C.,Deng, H.,Wu, M.,Chan, S.K.,Kappler, J.W.,Zhou, Y.,Tran, E.,Marrack, P.,Yin, L.
Immune-based mutation classification enables neoantigen prioritization and immune feature discovery in cancer immunotherapy.
Oncoimmunology, 10:1868130-1868130, 2021
Cited by
PubMed Abstract: Genetic mutations lead to the production of mutated proteins from which peptides are presented to T cells as cancer neoantigens. Evidence suggests that T cells that target neoantigens are the main mediators of effective cancer immunotherapies. Although algorithms have been used to predict neoantigens, only a minority are immunogenic. The factors that influence neoantigen immunogenicity are not completely understood. Here, we classified human neoantigen/neopeptide data into three categories based on their TCR-pMHC binding events. We observed a conservative mutant orientation of the anchor residue from immunogenic neoantigens which we termed the "NP" rule. By integrating this rule with an existing prediction algorithm, we found improved performance in neoantigen prioritization. To better understand this rule, we solved several neoantigen/MHC structures. These structures showed that neoantigens that follow this rule not only increase peptide-MHC binding affinity but also create new TCR-binding features. These molecular insights highlight the value of immune-based classification in neoantigen studies and may enable the design of more effective cancer immunotherapies.
PubMed: 33537173
DOI: 10.1080/2162402X.2020.1868130
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (2.5 Å)
Structure validation

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