HLA-B*57:03 binding "LSSPVTKSF" with KIR-3 NK receptor at 1.98Å resolution
Data provenance
Information sections
- Publication
- Peptide details
- Peptide neighbours
- Binding cleft pockets
- Chain sequences
- Downloadable data
- Data license
- Footnotes
Complex type
HLA-B*57:03
LSSPVTKSF
Species
Locus / Allele group
The molecular basis of how buried human leukocyte antigen polymorphism modulates natural killer cell function.
Micropolymorphisms within human leukocyte antigen (HLA) class I molecules can change the architecture of the peptide-binding cleft, leading to differences in peptide presentation and T cell recognition. The impact of such HLA variation on natural killer (NK) cell recognition remains unclear. Given the differential association of HLA-B*57:01 and HLA-B*57:03 with the control of HIV, recognition of these HLA-B57 allomorphs by the killer cell immunoglobulin-like receptor (KIR) 3DL1 was compared. Despite differing by only two polymorphic residues, both buried within the peptide-binding cleft, HLA-B*57:01 more potently inhibited NK cell activation. Direct-binding studies showed KIR3DL1 to preferentially recognize HLA-B*57:01, particularly when presenting peptides with positively charged position (P)Ω-2 residues. In HLA-B*57:01, charged PΩ-2 residues were oriented toward the peptide-binding cleft and away from KIR3DL1. In HLA-B*57:03, the charged PΩ-2 residues protruded out from the cleft and directly impacted KIR3DL1 engagement. Accordingly, KIR3DL1 recognition of HLA class I ligands is modulated by both the peptide sequence and conformation, as determined by the HLA polymorphic framework, providing a rationale for understanding differences in clinical associations.
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
P1
LEU
GLU63
MET5
TYR159
TRP167
PHE33
TYR59
TYR7
TYR171
LEU163
|
P2
SER
TYR9
TYR7
GLU63
ASN66
TYR159
MET45
MET67
TYR99
|
P3
SER
LEU156
TYR159
SER70
TYR9
TYR99
ASN66
|
P4
PRO
ASN66
LEU163
TYR159
|
P5
VAL
LEU156
TYR159
VAL152
GLN155
|
P6
THR
ALA69
SER70
THR73
TYR74
TYR9
|
P7
LYS
VAL152
TRP147
GLN155
THR73
ASN77
|
P8
SER
THR143
THR73
ASN77
ILE80
LYS146
TRP147
|
P9
PHE
TRP147
TYR116
ALA81
THR143
ILE142
ILE80
LYS146
TYR84
TYR123
ILE95
ASN77
TYR74
|
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
LEU163
TRP167
TYR171
MET5
TYR59
GLU63
ASN66
TYR7
|
B Pocket
ALA24
VAL34
MET45
GLU63
ASN66
MET67
TYR7
SER70
TYR9
TYR99
|
C Pocket
SER70
THR73
TYR74
TYR9
VAL97
|
D Pocket
ASN114
GLN155
LEU156
TYR159
LEU160
TYR99
|
E Pocket
ASN114
TRP147
VAL152
LEU156
VAL97
|
F Pocket
TYR116
TYR123
THR143
LYS146
TRP147
ASN77
ILE80
ALA81
TYR84
ILE95
|
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-B*57:03
IPD-IMGT/HLA
[ipd-imgt:HLA25915] |
10 20 30 40 50 60
GSHSMRYFYTAMSRPGRGEPRFIAVGYVDDTQFVRFDSDAASPRMAPRAPWIEQEGPEYW 70 80 90 100 110 120 DGETRNMKASAQTYRENLRIALRYYNQSEAGSHIIQVMYGCDVGPDGRLLRGHNQYAYDG 130 140 150 160 170 180 KDYIALNEDLSSWTAADTAAQITQRKWEAARVAEQLRAYLEGLCVEWLRRYLENGKETLQ 190 200 210 220 230 240 RADPPKTHVTHHPISDHEATLRCWALGFYPAEITLTWQRDGEDQTQDTELVETRPAGDRT 250 260 270 FQKWAAVVVPSGEEQRYTCHVQHEGLPKPLTLRWE |
3. kir3
kir3
|
10 20 30 40 50 60
HMGGQDKPFLSAWPSAVVPRGGHVTLRCHYRHRFNNFMLYKEDRIHIPIFHGRIFQESFN 70 80 90 100 110 120 MSPVTTAHAGNYTCRGSHPHSPTGWSAPSNPVVIMVTGNHRKPSLLAHPGPLVKSGERVI 130 140 150 160 170 180 LQCWSDIMFEHFFLHKEGISKDPSRLVGQIHDGVSKANFSIGPMMLALAGTYRCYGSVTH 190 200 210 220 230 240 TPYQLSAPSDPLDIVVTGPYEKPSLSAQPGPKVQAGESVTLSCSSRSSYDMYHLSREGGA 250 260 270 280 290 HERRLPAVRKVNRTFQADFPLGPATHGGTYRCFGSFRHSPYEWSDPSDPLLVSVTGNPS |
4. Peptide
|
LSSPVTKSF
|
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.