HLA-A*02:01 presenting "AAGIGILTV" to Alpha/Beta T cell receptor at 2.35Å resolution
Data provenance
Information sections
- Publication
- Peptide details
- Peptide neighbours
- Binding cleft pockets
- Chain sequences
- Downloadable data
- Data license
- Footnotes
Complex type
Class i with peptide and alpha beta tcr
HLA-A*02:01
AAGIGILTV
TRAV12
TRBV6
Species
Locus / Allele group
Improving T Cell Receptor On-Target Specificity via Structure-Guided Design.
T cell receptors (TCRs) have emerged as a new class of immunological therapeutics. However, though antigen specificity is a hallmark of adaptive immunity, TCRs themselves do not possess the high specificity of monoclonal antibodies. Although a necessary function of T cell biology, the resulting cross-reactivity presents a significant challenge for TCR-based therapeutic development, as it creates the potential for off-target recognition and immune toxicity. Efforts to enhance TCR specificity by mimicking the antibody maturation process and enhancing affinity can inadvertently exacerbate TCR cross-reactivity. Here we demonstrate this concern by showing that even peptide-targeted mutations in the TCR can introduce new reactivities against peptides that bear similarity to the original target. To counteract this, we explored a novel structure-guided approach for enhancing TCR specificity independent of affinity. Tested with the MART-1-specific TCR DMF5, our approach had a small but discernible impact on cross-reactivity toward MART-1 homologs yet was able to eliminate DMF5 cross-recognition of more divergent, unrelated epitopes. Our study provides a proof of principle for the use of advanced structure-guided design techniques for improving TCR specificity, and it suggests new ways forward for enhancing TCRs for therapeutic use.
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
P10
VAL
THR80
TYR84
LEU81
TRP147
THR143
LYS146
TYR116
TYR123
ASP77
|
P2
ALA
TYR159
TYR7
LYS66
HIS70
PHE9
TYR99
GLU63
|
P3
ALA
TYR159
LYS66
TYR99
HIS70
|
P4
GLY
TYR159
LYS66
|
P5
ILE
LEU156
GLN155
TYR159
ALA158
|
P6
GLY
ARG97
VAL152
HIS114
LEU156
GLN155
|
P7
ILE
THR73
VAL152
TYR99
HIS70
HIS114
LEU156
GLN155
ARG97
|
P8
LEU
THR73
ASP77
VAL152
TRP147
LYS146
ARG97
ALA150
|
P9
THR
THR73
TRP147
ASP77
THR143
LYS146
VAL76
|
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
ALA159
GLY163
GLU167
ARG171
SER5
GLU59
GLY63
ARG66
ARG7
|
B Pocket
ILE24
PHE34
ARG45
GLY63
ARG66
LYS67
ARG7
ALA70
PHE9
MET99
|
C Pocket
ALA70
GLN73
THR74
PHE9
GLN97
|
D Pocket
TYR114
GLU155
GLN156
ALA159
TYR160
MET99
|
E Pocket
TYR114
LYS147
HIS152
GLN156
GLN97
|
F Pocket
GLN116
ASP123
THR143
HIS146
LYS147
VAL77
GLY80
THR81
GLY84
THR95
|
Colour key
Data provenance
1. Beta 2 microglobulin
Beta 2 microglobulin
|
10 20 30 40 50 60
MIQRTPKIQVYSRHPAENGKSNFLNCYVSGFHPSDIEVDLLKNGERIEKVEHSDLSFSKD 70 80 90 WSFYLLYYTEFTPTEKDEYACRVNHVTLSQPKIVKWDRDM |
2. Class I alpha
HLA-A*02:01
IPD-IMGT/HLA
[ipd-imgt:HLA35266] |
10 20 30 40 50 60
MGSHSMRYFFTSVSRPGRGEPRFIAVGYVDDTQFVRFDSDAASQRMEPRAPWIEQEGPEY 70 80 90 100 110 120 WDGETRKVKAHSQTHRVDLGTLRGYYNQSEAGSHTVQRMYGCDVGSDWRFLRGYHQYAYD 130 140 150 160 170 180 GKDYIALKEDLRSWTAADMAAQTTKHKWEAAHVAEQLRAYLEGTCVEWLRRYLENGKETL 190 200 210 220 230 240 QRTDAPKTHMTHHAVSDHEATLRCWALSFYPAEITLTWQRDGEDQTQDTELVETRPAGDG 250 260 270 TFQKWAAVVVPSGQEQRYTCHVQHEGLPKPLTLRWE |
3. Peptide
|
AAGIGILTV
|
4. T cell receptor alpha
T cell receptor alpha
TRAV12
|
10 20 30 40 50 60
MKEVEQNSGPLSVPEGAIASLNCTYSYRGSQSFFWYRQYSGKSPELIMFIYSNGDKEDGR 70 80 90 100 110 120 FTAQLNKASQYVSLLIRDSQPSDSATYLCAVNFGGGKLIFGQGTELSVKPNIQNPDPAVY 130 140 150 160 170 180 QLRDSKSSDKSVCLFTDFDSQTNVSQSKDSDVYITDKCVLDMRSMDFKSNSAVAWSNKSD 190 FACANAFNNSIIPEDTFFPS |
5. T cell receptor beta
T cell receptor beta
TRBV6
|
10 20 30 40 50 60
MIAGITQAPTSQILAAGRRMTLRCTQDMRHNAMYWYRQDLGLGLRLIHYSNTAGTTGKGE 70 80 90 100 110 120 VPDGYSVSRANTDDFPLTLASAVPSQTSVYFCASSWSFGTEAFFGQGTRLTVVEDLNKVF 130 140 150 160 170 180 PPEVAVFEPSEAEISHTQKATLVCLATGFYPDHVELSWWVNGKEVHSGVCTDPQPLKEQP 190 200 210 220 230 240 ALNDSRYALSSRLRVSATFWQDPRNHFRCQVQFYGLSENDEWTQDRAKPVTQIVSAEAWG RAD |
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.