HLA-A*02:01 binding "CVNGSCFTV" at 2.00Å resolution
Data provenance
Information sections
- Publication
- Peptide details
- Peptide neighbours
- Binding cleft pockets
- Chain sequences
- Downloadable data
- Data license
- Footnotes
Complex type
HLA-A*02:01
CVNGSCFTV
Species
Locus / Allele group
Lack of heterologous cross-reactivity towards HLA-A*02:01 restricted viral epitopes is underpinned by distinct ����T cell receptor signatures.
αβT cell receptor (TCR) genetic diversity is outnumbered by the quantity of pathogenic epitopes to be recognized. To provide efficient protective anti-viral immunity, a single TCR ideally needs to cross-react with a multitude of pathogenic epitopes. However, the frequency, extent, and mechanisms of TCR cross-reactivity remain unclear, with conflicting results on anti-viral T cell cross-reactivity observed in humans. Namely, both the presence and lack of T cell cross-reactivity have been reported with HLA-A*02:01-restricted epitopes from the Epstein-Barr and influenza viruses (BMLF-1 and M158, respectively) or with the hepatitis C and influenza viruses (NS31073 and NA231, respectively). Given the high sequence similarity of these paired viral epitopes (56 and 88%, respectively), the ubiquitous nature of the three viruses, and the high frequency of the HLA-A*02:01 allele, we selected these epitopes to establish the extent of T cell cross-reactivity. We combined ex vivo and in vitro functional assays, single-cell αβTCR repertoire sequencing, and structural analysis of these four epitopes in complex with HLA-A*02:01 to determine whether they could lead to heterologous T cell cross-reactivity. Our data show that sequence similarity does not translate to structural mimicry of the paired epitopes in complexes with HLA-A*02:01, resulting in induction of distinct αβTCR repertoires. The differences in epitope architecture might be an obstacle for TCR recognition, explaining the lack of T cell cross-reactivity observed. In conclusion, sequence similarity does not necessarily result in structural mimicry, and despite the need for cross-reactivity, antigen-specific TCR repertoires can remain highly specific.
Structure deposition and release
Data provenance
Publication data retrieved from PDBe REST API8 and PMCe REST API9
Other structures from this publication



Data provenance
MHC:peptide complexes are visualised using PyMol. The peptide is superimposed on a consistent cutaway slice of the MHC binding cleft (displayed as a grey mesh) which best indicates the binding pockets for the P1/P5/PC positions (side view - pockets A, E, F) and for the P2/P3/PC-2 positions (top view - pockets B, C, D). In some cases peptides will use a different pocket for a specific peptide position (atypical anchoring). On some structures the peptide may appear to sterically clash with a pocket. This is an artefact of picking a standardised slice of the cleft and overlaying the peptide.
Peptide neighbours
P100
CYS
TYR7
THR163
PHE33
GLU63
MET5
TYR171
TYR159
LYS66
TRP167
TYR59
|
P101
VAL
MET45
TYR99
GLU63
VAL67
TYR159
TYR7
HIS70
LYS66
PHE9
|
P102
ASN
TYR159
HIS70
LYS66
TYR99
LEU156
|
P103
GLY
LYS66
HIS70
|
P104
SER
GLN155
|
P105
CYS
ALA69
HIS70
THR73
|
P106
PHE
ARG97
VAL152
TRP147
HIS114
ASP77
LEU156
THR73
|
P107
THR
THR73
TRP147
ASP77
THR143
VAL76
LYS146
|
P108
VAL
ASP77
THR80
THR143
TRP147
TYR123
ILE124
LYS146
TYR84
TYR116
LEU81
|
Colour key
Data provenance
Neighbours are calculated by finding residues with atoms within 5Å of each other using BioPython Neighboursearch module. The list of neighbours is then sorted and filtered to inlcude only neighbours where between the peptide and the MHC Class I alpha chain.
Colours selected to match the YRB scheme. [https://www.frontiersin.org/articles/10.3389/fmolb.2015.00056/full]


A Pocket
TYR159
THR163
TRP167
TYR171
MET5
TYR59
GLU63
LYS66
TYR7
|
B Pocket
ALA24
VAL34
MET45
GLU63
LYS66
VAL67
TYR7
HIS70
PHE9
TYR99
|
C Pocket
HIS70
THR73
HIS74
PHE9
ARG97
|
D Pocket
HIS114
GLN155
LEU156
TYR159
LEU160
TYR99
|
E Pocket
HIS114
TRP147
VAL152
LEU156
ARG97
|
F Pocket
TYR116
TYR123
THR143
LYS146
TRP147
ASP77
THR80
LEU81
TYR84
VAL95
|
Colour key
Data provenance
1. Beta 2 microglobulin
Beta 2 microglobulin
|
10 20 30 40 50 60
IQRTPKIQVYSRHPAENGKSNFLNCYVSGFHPSDIEVDLLKNGERIEKVEHSDLSFSKDW 70 80 90 SFYLLYYTEFTPTEKDEYACRVNHVTLSQPKIVKWDRDM |
2. Class I alpha
HLA-A*02:01
IPD-IMGT/HLA
[ipd-imgt:HLA35266] |
10 20 30 40 50 60
GSHSMRYFFTSVSRPGRGEPRFIAVGYVDDTQFVRFDSDAASQRMEPRAPWIEQEGPEYW 70 80 90 100 110 120 DGETRKVKAHSQTHRVDLGTLRGYYNQSEAGSHTVQRMYGCDVGSDWRFLRGYHQYAYDG 130 140 150 160 170 180 KDYIALKEDLRSWTAADMAAQTTKHKWEAAHVAEQLRAYLEGTCVEWLRRYLENGKETLQ 190 200 210 220 230 240 RTDAPKTHMTHHAVSDHEATLRCWALSFYPAEITLTWQRDGEDQTQDTELVETRPAGDGT 250 260 270 FQKWVAVVVPSGQEQRYTCHVQHEGLPKPLTLRWEP |
3. Peptide
|
CVNGSCFTV
|
Data provenance
Sequences are retrieved via the Uniprot method of the RSCB REST API. Sequences are then compared to those derived from the PDB file and matched against sequences retrieved from the IPD-IMGT/HLA database for human sequences, or the IPD-MHC database for other species. Mouse sequences are matched against FASTA files from Uniprot. Sequences for the mature extracellular protein (signal petide and cytoplasmic tail removed) are compared to identical length sequences from the datasources mentioned before using either exact matching or Levenshtein distance based matching.
Downloadable data
Components
Data license
Footnotes
- Protein Data Bank Europe - Coordinate Server
- 1HHK - HLA-A*02:01 binding LLFGYPVYV at 2.5Å resolution - PDB entry for 1HHK
- Protein structure alignment by incremental combinatorial extension (CE) of the optimal path. - PyMol CEALIGN Method - Publication
- PyMol - PyMol.org/pymol
- Levenshtein distance - Wikipedia entry
- Protein Data Bank Europe REST API - Molecules endpoint
- 3Dmol.js: molecular visualization with WebGL - 3DMol.js - Publication
- Protein Data Bank Europe REST API - Publication endpoint
- PubMed Central Europe REST API - Articles endpoint

This work is licensed under a Creative Commons Attribution 4.0 International License.