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  Domain Name: PIKKc
Phosphoinositide 3-kinase-related protein kinase (PIKK) subfamily, catalytic domain; The PIKK catalytic domain subfamily is part of a larger superfamily that includes the catalytic domains of other kinases such as the typical serine/threonine/tyrosine protein kinases (PKs), aminoglycoside phosphotransferase, choline kinase, and RIO kinases. Members include ATM (Ataxia telangiectasia mutated), ATR (Ataxia telangiectasia and Rad3-related), TOR (Target of rapamycin), SMG-1 (Suppressor of morphogenetic effect on genitalia-1), and DNA-PK (DNA-dependent protein kinase). PIKKs have intrinsic serine/threonine kinase activity and are distinguished from other PKs by their unique catalytic domain, similar to that of lipid PI3K, and their large molecular weight (240-470 kDa). They show strong preference for phosphorylating serine/threonine residues followed by a glutamine and are also referred to as (S/T)-Q-directed kinases. They all contain a FATC (FRAP, ATM and TRRAP, C-terminal) domain. PIKKs have diverse functions including cell-cycle checkpoints, genome surveillance, mRNA surveillance, and translation control.
No pairwise interactions are available for this conserved domain.

Total Mutations Found: 6
Total Disease Mutations Found: 2
This domain occurred 16 times on human genes (35 proteins).


 If you've navigated here from a protein, hovering over a position on the weblogo will display the corresponding protein position for that domain position.

 The histograms below the weblogo indicate mutations found on the domain. Red is for disease (OMIM) and blue is for SNPs.

 Functional Features are displayed as orange boxes under the histograms. You can choose which features are displayed in the box below.

Range on the Protein:  

   Protein ID            Protein Position

Domain Position:  

Feature Name:Total Found:
ATP binding site
catalytic loop
activation loop (A-loop)

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Please Cite: Peterson, T.A., Adadey, A., Santana-Cruz ,I., Sun, Y., Winder A, Kann, M.G., (2010) DMDM: Domain Mapping of Disease Mutations. Bioinformatics 26 (19), 2458-2459.

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