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Serine/threonine-protein kinase TBK1 - Q9UHD2 (TBK1_HUMAN)

 

Protein Feature View of PDB entries mapped to a UniProtKB sequence  

Number of PDB entries for Q9UHD2: 10
 
Function
Serine/threonine kinase that plays an essential role in regulating inflammatory responses to foreign agents. Following activation of toll-like receptors by viral or bacterial components, associates with TRAF3 and TANK and phosphorylates interferon regulatory factors (IRFs) IRF3 and IRF7 as well as DDX3X. This activity allows subsequent homodimerization and nuclear translocation of the IRFs leading to transcriptional activation of pro-inflammatory and antiviral genes including IFNA and IFNB. In order to establish such an antiviral state, TBK1 form several different complexes whose composition depends on the type of cell and cellular stimuli. Thus, several scaffolding molecules including FADD, TRADD, MAVS, AZI2, TANK or TBKBP1/SINTBAD can be recruited to the TBK1-containing-complexes. Under particular conditions, functions as a NF-kappa-B effector by phosphorylating NF-kappa-B inhibitor alpha/NFKBIA, IKBKB or RELA to translocate NF-Kappa-B to the nucleus. Restricts bacterial proliferation by phosphorylating the autophagy receptor OPTN/Optineurin on 'Ser-177', thus enhancing LC3 binding affinity and antibacterial autophagy. Phosphorylates and activates AKT1. Seems to play a role in energy balance regulation by sustaining a state of chronic, low-grade inflammation in obesity, wich leads to a negative impact on insulin sensitivity. Attenuates retroviral budding by phosphorylating the endosomal sorting complex required for transport-I (ESCRT-I) subunit VPS37C. Phosphorylates Borna disease virus (BDV) P protein. (data source: UniProt  )
Subunit structure
Homodimer. Interacts with DDX3X, TIRAP and TRAF2. Part of a ternary complex consisting of TANK, TRAF2 and TBK1. Interacts with AZI2, TANK and TBKBP1; these interactions are mutually exclusive and mediate TBK1 activation. Interacts with GSK3B; this interaction promotes TBK1 self-association and autophosphorylation. Interacts with SIKE1; SIKE1 is associated with TBK1 under physiological condition and dissociated from TBK1 upon viral infection or TLR3 stimulation. Interacts with TICAM1/TRIF, IRF3 and DDX58/RIG-I. Interacts with CYLD. Interacts with OPTN and TRAF3. Interacts with SRC. Interacts with the exocyst complex subunit SEC5/EXOC2; this interaction is sufficient to trigger TBK1 activity. Interacts with TMEM173/MITA. Interacts with IFIT3 (via N-terminus). Interacts with MAVS only in the presence of IFIT3. Interacts with HCV NS3, Ebola virus VP35 and Borna disease virus protein P; these interactions lead to inhibition of cellular antiviral response by blocking necessary interactions between the TBK1 and its substrates IRF3 and IRF7. (data source: UniProt  )
Domain
Comprises A N-terminal kinase domain, a ubiquitin-like domain and a C-terminal leucine-zipper. (data source: UniProt  )
UniProtKB:
Species: 
Gene names: Gene View for TBK1 NAK
Length:
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Data origin/color codes
The vertical color bar on the left side indicates data provenance.
Data in green originates from UniProtKB  
Data in yellow originates from Pfam  , by interacting with the HMMER3 web site  
Data in orange originates from the SCOP   (version 1.75) and SCOPe   (version 2.04) classifications.
Data in grey has been calculated using BioJava  . Protein disorder predictions are based on JRONN (Troshin, P. and Barton, G. J. unpublished), a Java implementation of RONN  
  • Red: potentially disorderd region
  • Blue: probably ordered region.
Hydropathy has been calculated using a sliding window of 15 residues and summing up scores from standard hydrophobicity tables.
  • Red: hydrophobic
  • Blue: hydrophilic.
Data in lilac represent the genomic exon structure projected onto the UniProt sequence.
Data in blue originates from PDB
  • Secstruc: Secondary structure projected from representative PDB entries onto the UniProt sequence.
Data in red indicates combined ranges of Homology Models from SBKB   and the Protein Model Portal  

The PDB to UniProt mapping is based on the data provided by the EBI SIFTS project. See also Velankar et al., Nucleic Acids Research 33, D262-265 (2005).