6A33

Binding and Enhanced Binding between Key Immunity Proteins TRAF6 and TIFA


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.10 Å
  • R-Value Free: 0.247 
  • R-Value Work: 0.194 
  • R-Value Observed: 0.196 

Starting Model: experimental
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wwPDB Validation   3D Report Full Report


This is version 1.2 of the entry. See complete history


Literature

Binding and Enhanced Binding between Key Immunity Proteins TRAF6 and TIFA.

Huang, W.C.Liao, J.H.Hsiao, T.C.Wei, T.W.Maestre-Reyna, M.Bessho, Y.Tsai, M.D.

(2019) Chembiochem 20: 140-146

  • DOI: https://doi.org/10.1002/cbic.201800436
  • Primary Citation of Related Structures:  
    5ZUJ, 6A33

  • PubMed Abstract: 

    Human tumor necrosis factor receptor associated factor (TRAF)-interacting protein, with a forkhead-associated domain (TIFA), is a key regulator of NF-κB activation. It also plays a key role in the activation of innate immunity in response to bacterial infection, through heptose 1,7-bisphosphate (HBP); a metabolite of lipopolysaccharide (LPS). However, the mechanism of TIFA function is largely unexplored, except for the suggestion of interaction with TRAF6. Herein, we provide evidence for direct binding, albeit weak, between TIFA and the TRAF domain of TRAF6, and it is shown that the binding is enhanced for a rationally designed double mutant, TIFA S174Q/M179D. Enhanced binding was also demonstrated for endogenous full-length TRAF6. Furthermore, the structures of the TRAF domain complexes with the consensus TRAF-binding peptides from the C terminus of wild-type and S174Q/M179D mutant TIFA, showing salt-bridge formation between residues 177-181 of TIFA and the binding pocket residues of the TRAF domain, were solved. Taken together, the results provide direct evidence and a structural basis for the TIFA-TRAF6 interaction, and show how this important biological function can be modulated.


  • Organizational Affiliation

    Institute of Biological Chemistry, Academia Sinica, 128 Academia Road Sec. 2, Nankang, Taipei, 115, Taiwan.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
TNF receptor-associated factor 6161Homo sapiensMutation(s): 0 
Gene Names: TRAF6RNF85
EC: 2.3.2.27
UniProt & NIH Common Fund Data Resources
Find proteins for Q9Y4K3 (Homo sapiens)
Explore Q9Y4K3 
Go to UniProtKB:  Q9Y4K3
PHAROS:  Q9Y4K3
GTEx:  ENSG00000175104 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupQ9Y4K3
Sequence Annotations
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  • Reference Sequence

Find similar proteins by:  Sequence   |   3D Structure  

Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
15-mer peptide from TRAF-interacting protein with FHA domain-containing protein AB [auth I]15Homo sapiensMutation(s): 0 
UniProt & NIH Common Fund Data Resources
Find proteins for Q96CG3 (Homo sapiens)
Explore Q96CG3 
Go to UniProtKB:  Q96CG3
PHAROS:  Q96CG3
GTEx:  ENSG00000145365 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupQ96CG3
Sequence Annotations
Expand
  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.10 Å
  • R-Value Free: 0.247 
  • R-Value Work: 0.194 
  • R-Value Observed: 0.196 
  • Space Group: P 61 2 2
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 51.43α = 90
b = 51.43β = 90
c = 336.57γ = 120
Software Package:
Software NamePurpose
Blu-Icedata collection
XDSdata reduction
XSCALEdata scaling
PHENIXrefinement

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
TaiwanMOST105-0210-01-12-01
TaiwanMOST106-0210-01-15-04
TaiwanMOST107-0210-01-19-02

Revision History  (Full details and data files)

  • Version 1.0: 2018-12-05
    Type: Initial release
  • Version 1.1: 2019-02-06
    Changes: Data collection, Database references
  • Version 1.2: 2023-11-22
    Changes: Data collection, Database references, Refinement description