Target Information
| Target General Information | Top | |||||
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| Target ID |
T65879
(Former ID: TTDR00255)
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| Target Name |
Inhibitor of nuclear factor kappa-B kinase alpha (IKKA)
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| Synonyms |
Transcription factor 16; TCF16; TCF-16; Nuclear factor NFkappaB inhibitor kinase alpha; Nuclear factor NF-kappa-B inhibitor kinase alpha; NFKBIKA; Inhibitory kappa B kinasea; Inhibitor of nuclear factor kappa-B kinase subunit alpha; IkappaB kinase A; IkBKA; IKK1; IKK-alpha; IKK-A; I-kappa-B kinase alpha; I-kappa-B kinase 1; I kappa-B kinase alpha; Conserved helix-loop-helix ubiquitous kinase
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| Gene Name |
CHUK
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| Target Type |
Literature-reported target
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[1] | ||||
| Disease | [+] 1 Target-related Diseases | + | ||||
| 1 | Solid tumour/cancer [ICD-11: 2A00-2F9Z] | |||||
| Function |
Acts as part of the canonical IKK complex in the conventional pathway of NF-kappa-B activation and phosphorylates inhibitors of NF-kappa-B on serine residues. These modifications allow polyubiquitination of the inhibitors and subsequent degradation by the proteasome. In turn, free NF-kappa-B is translocated into the nucleus and activates the transcription of hundreds of genes involved in immune response, growth control, or protection against apoptosis. Negatively regulates the pathway by phosphorylating the scaffold protein TAXBP1 and thus promoting the assembly of the A20/TNFAIP3 ubiquitin-editing complex (composed of A20/TNFAIP3, TAX1BP1, and the E3 ligases ITCH and RNF11). Therefore, CHUK plays a key role in the negative feedback of NF-kappa-B canonical signaling to limit inflammatory gene activation. As part of the non-canonical pathway of NF-kappa-B activation, the MAP3K14-activated CHUK/IKKA homodimer phosphorylates NFKB2/p100 associated with RelB, inducing its proteolytic processing to NFKB2/p52 and the formation of NF-kappa-B RelB-p52 complexes. In turn, these complexes regulate genes encoding molecules involved in B-cell survival and lymphoid organogenesis. Participates also in the negative feedback of the non-canonical NF-kappa-B signaling pathway by phosphorylating and destabilizing MAP3K14/NIK. Within the nucleus, phosphorylates CREBBP and consequently increases both its transcriptional and histone acetyltransferase activities. Modulates chromatin accessibility at NF-kappa-B-responsive promoters by phosphorylating histones H3 at 'Ser-10' that are subsequently acetylated at 'Lys-14' by CREBBP. Additionally, phosphorylates the CREBBP-interacting protein NCOA3. Also phosphorylates FOXO3 and may regulate this pro-apoptotic transcription factor. Serine kinase that plays an essential role in the NF-kappa-B signaling pathway which is activated by multiple stimuli such as inflammatory cytokines, bacterial or viral products, DNA damages or other cellular stresses.
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| BioChemical Class |
Kinase
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| UniProt ID | ||||||
| EC Number |
EC 2.7.11.10
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| Sequence |
MERPPGLRPGAGGPWEMRERLGTGGFGNVCLYQHRELDLKIAIKSCRLELSTKNRERWCH
EIQIMKKLNHANVVKACDVPEELNILIHDVPLLAMEYCSGGDLRKLLNKPENCCGLKESQ ILSLLSDIGSGIRYLHENKIIHRDLKPENIVLQDVGGKIIHKIIDLGYAKDVDQGSLCTS FVGTLQYLAPELFENKPYTATVDYWSFGTMVFECIAGYRPFLHHLQPFTWHEKIKKKDPK CIFACEEMSGEVRFSSHLPQPNSLCSLVVEPMENWLQLMLNWDPQQRGGPVDLTLKQPRC FVLMDHILNLKIVHILNMTSAKIISFLLPPDESLHSLQSRIERETGINTGSQELLSETGI SLDPRKPASQCVLDGVRGCDSYMVYLFDKSKTVYEGPFASRSLSDCVNYIVQDSKIQLPI IQLRKVWAEAVHYVSGLKEDYSRLFQGQRAAMLSLLRYNANLTKMKNTLISASQQLKAKL EFFHKSIQLDLERYSEQMTYGISSEKMLKAWKEMEEKAIHYAEVGVIGYLEDQIMSLHAE IMELQKSPYGRRQGDLMESLEQRAIDLYKQLKHRPSDHSYSDSTEMVKIIVHTVQSQDRV LKELFGHLSKLLGCKQKIIDLLPKVEVALSNIKEADNTVMFMQGKRQKEIWHLLKIACTQ SSARSLVGSSLEGAVTPQTSAWLPPTSAEHDHSLSCVVTPQDGETSAQMIEENLNCLGHL STIIHEANEEQGNSMMNLDWSWLTE Click to Show/Hide
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| 3D Structure | Click to Show 3D Structure of This Target | PDB | ||||
| HIT2.0 ID | T05RAA | |||||
| Cell-based Target Expression Variations | Top | |||||
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| Cell-based Target Expression Variations | ||||||
| Drug Binding Sites of Target | Top | |||||
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| Ligand Name: 2-Azanyl-5-Phenyl-3-(4-Sulfamoylphenyl)benzamide | Ligand Info | |||||
| Structure Description | Crystal structure of human IKK1 | PDB:5EBZ | ||||
| Method | X-ray diffraction | Resolution | 4.50 Å | Mutation | Yes | [2] |
| PDB Sequence |
DPEFGAGGPW
15 EMRERLGTGG25 FGNVCLYQHR35 ELDLKIAIKS45 CRLELSTKNR55 ERWCHEIQIM 65 KKLNHANVVK75 ACDVPEELNI85 LIHDVPLLAM95 EYCSGGDLRK105 LLNKPENCCG 115 LKESQILSLL125 SDIGSGIRYL135 HENKIIHRDL145 KPENIVLQDV155 GGKIIHKIID 165 LGYAKDVDQG175 ELCTEFVGTL185 QYLAPELFEN195 KPYTATVDYW205 SFGTMVFECI 215 AGYRPFLHHL225 QPFTWHEKIK235 KKDPKCIFAC245 EEMSGEVRFS255 SHLPQPNSLC 265 SLIVEPMENW275 LQLMLNWDPQ285 QRGGPVDLTL295 KQPRCFVLMD305 HILNLKIVHI 315 LNMTSAKIIS325 FLLPPDESLH335 SLQSRIERET345 GINTGSQELL355 SETGISLDPR 365 KPASQCVLDG375 VRGCDSYMVY385 LFDKSKTVYE395 GPFASRSLSD405 CVNYIVQDSK 415 IQLPIIQLRK425 VWAEAVHYVS435 GLKEDYSRLF445 QGQRAAMLSL455 LRYNANLTKM 465 KNTLISASQQ475 LKAKLEFFHK485 SIQLDLERYS495 EQMTYGISSE505 KMLKAWKEME 515 EKAIHYAEVG525 VIGYLEDQIM535 SLHAEIMELQ545 KSPYGRRQGD555 LMESLEQRAI 565 DLYKQLKHRP575 SDHSYSDSTE585 MVKIIVHTVQ595 SQDRVLKELF605 GHLSKLLGCK 615 QKIIDLLPKV625 EVALSNIKEA635 DNTVMFMQGK645 RQKEIWHLLK655 IACTQ |
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| Click to View More Binding Site Information of This Target with Different Ligands | ||||||
| Different Human System Profiles of Target | Top |
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Human Similarity Proteins
of target is determined by comparing the sequence similarity of all human proteins with the target based on BLAST. The similarity proteins for a target are defined as the proteins with E-value < 0.005 and outside the protein families of the target.
A target that has fewer human similarity proteins outside its family is commonly regarded to possess a greater capacity to avoid undesired interactions and thus increase the possibility of finding successful drugs
(Brief Bioinform, 21: 649-662, 2020).
Human Tissue Distribution
of target is determined from a proteomics study that quantified more than 12,000 genes across 32 normal human tissues. Tissue Specificity (TS) score was used to define the enrichment of target across tissues.
The distribution of targets among different tissues or organs need to be taken into consideration when assessing the target druggability, as it is generally accepted that the wider the target distribution, the greater the concern over potential adverse effects
(Nat Rev Drug Discov, 20: 64-81, 2021).
Human Pathway Affiliation
of target is determined by the life-essential pathways provided on KEGG database. The target-affiliated pathways were defined based on the following two criteria (a) the pathways of the studied target should be life-essential for both healthy individuals and patients, and (b) the studied target should occupy an upstream position in the pathways and therefore had the ability to regulate biological function.
Targets involved in a fewer pathways have greater likelihood to be successfully developed, while those associated with more human pathways increase the chance of undesirable interferences with other human processes
(Pharmacol Rev, 58: 259-279, 2006).
Biological Network Descriptors
of target is determined based on a human protein-protein interactions (PPI) network consisting of 9,309 proteins and 52,713 PPIs, which were with a high confidence score of ≥ 0.95 collected from STRING database.
The network properties of targets based on protein-protein interactions (PPIs) have been widely adopted for the assessment of target’s druggability. Proteins with high node degree tend to have a high impact on network function through multiple interactions, while proteins with high betweenness centrality are regarded to be central for communication in interaction networks and regulate the flow of signaling information
(Front Pharmacol, 9, 1245, 2018;
Curr Opin Struct Biol. 44:134-142, 2017).
Human Similarity Proteins
Human Tissue Distribution
Human Pathway Affiliation
Biological Network Descriptors
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Note:
If a protein has TS (tissue specficity) scores at least in one tissue >= 2.5, this protein is called tissue-enriched (including tissue-enriched-but-not-specific and tissue-specific). In the plots, the vertical lines are at thresholds 2.5 and 4.
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| KEGG Pathway | Pathway ID | Affiliated Target | Pathway Map |
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| MAPK signaling pathway | hsa04010 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| Ras signaling pathway | hsa04014 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| Chemokine signaling pathway | hsa04062 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| NF-kappa B signaling pathway | hsa04064 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| FoxO signaling pathway | hsa04068 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| mTOR signaling pathway | hsa04150 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| PI3K-Akt signaling pathway | hsa04151 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| Apoptosis | hsa04210 | Affiliated Target |
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| Class: Cellular Processes => Cell growth and death | Pathway Hierarchy | ||
| Osteoclast differentiation | hsa04380 | Affiliated Target |
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| Class: Organismal Systems => Development and regeneration | Pathway Hierarchy | ||
| Toll-like receptor signaling pathway | hsa04620 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| NOD-like receptor signaling pathway | hsa04621 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| RIG-I-like receptor signaling pathway | hsa04622 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| Cytosolic DNA-sensing pathway | hsa04623 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| C-type lectin receptor signaling pathway | hsa04625 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| IL-17 signaling pathway | hsa04657 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| Th1 and Th2 cell differentiation | hsa04658 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| Th17 cell differentiation | hsa04659 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| T cell receptor signaling pathway | hsa04660 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| B cell receptor signaling pathway | hsa04662 | Affiliated Target |
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| Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
| TNF signaling pathway | hsa04668 | Affiliated Target |
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| Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
| Adipocytokine signaling pathway | hsa04920 | Affiliated Target |
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| Class: Organismal Systems => Endocrine system | Pathway Hierarchy | ||
| Click to Show/Hide the Information of Affiliated Human Pathways | |||
| Degree | 49 | Degree centrality | 5.26E-03 | Betweenness centrality | 1.41E-03 |
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| Closeness centrality | 2.53E-01 | Radiality | 1.44E+01 | Clustering coefficient | 2.34E-01 |
| Neighborhood connectivity | 3.67E+01 | Topological coefficient | 5.18E-02 | Eccentricity | 11 |
| Download | Click to Download the Full PPI Network of This Target | ||||
| Chemical Structure based Activity Landscape of Target | Top |
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| Target Poor or Non Binders | Top | |||||
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| Target Poor or Non Binders | ||||||
| Target Regulators | Top | |||||
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| Target-regulating microRNAs | ||||||
| Target-interacting Proteins | ||||||
| References | Top | |||||
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| REF 1 | URL: http://www.guidetopharmacology.org Nucleic Acids Res. 2015 Oct 12. pii: gkv1037. The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands. (Target id: 1989). | |||||
| REF 2 | Structural Basis for the Activation of IKK1/Alpha. Cell Rep. 2016 Nov 15;17(8):1907-1914. | |||||
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