8YJ2 image
Entry Detail
PDB ID:
8YJ2
Keywords:
Title:
N17.1.2 recognition of NRAS neoantigens
Biological Source:
Source Organism:
Host Organism:
PDB Version:
Deposition Date:
2024-02-29
Release Date:
2024-12-04
Method Details:
Experimental Method:
Resolution:
2.26 Å
R-Value Free:
0.22
R-Value Work:
0.18
R-Value Observed:
0.19
Space Group:
C 2 2 21
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:human leukocyte antigen
Chain IDs:A
Chain Length:276
Number of Molecules:1
Biological Source:Homo sapiens
Polymer Type:polypeptide(L)
Description:Beta-2-microglobulin
Chain IDs:B
Chain Length:100
Number of Molecules:1
Biological Source:Homo sapiens
Polymer Type:polypeptide(L)
Description:ILE-LEU-ASP-THR-ALA-GLY-ARG-GLU-GLU-TYR
Chain IDs:C
Chain Length:10
Number of Molecules:1
Biological Source:Homo sapiens
Polymer Type:polypeptide(L)
Description:tcr alpha
Chain IDs:E (auth: D)
Chain Length:207
Number of Molecules:1
Biological Source:Homo sapiens
Polymer Type:polypeptide(L)
Description:tcr beta
Chain IDs:D (auth: E)
Chain Length:247
Number of Molecules:1
Biological Source:Homo sapiens
Primary Citation
Structural characterization and AlphaFold modeling of human T cell receptor recognition of NRAS cancer neoantigens.
Sci Adv 10 eadq6150 eadq6150 (2024)
PMID: 39576860 DOI: 10.1126/sciadv.adq6150

Abstact

T cell receptors (TCRs) that recognize cancer neoantigens are important for anticancer immune responses and immunotherapy. Understanding the structural basis of TCR recognition of neoantigens provides insights into their exquisite specificity and can enable design of optimized TCRs. We determined crystal structures of a human TCR in complex with NRAS Q61K and Q61R neoantigen peptides and HLA-A1 major histocompatibility complex (MHC), revealing the molecular underpinnings for dual recognition and specificity versus wild-type NRAS peptide. We then used multiple versions of AlphaFold to model the corresponding complex structures, given the challenge of immune recognition for such methods. One implementation of AlphaFold2 (TCRmodel2) with additional sampling was able to generate accurate models of the complexes, while AlphaFold3 also showed strong performance, although success was lower for other complexes. This study provides insights into TCR recognition of a shared cancer neoantigen as well as the utility and practical considerations for using AlphaFold to model TCR-peptide-MHC complexes.

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Primary Citation of related structures