Basic Information

Gene Symbol
ZNF296_2
Assembly
GCA_951394395.1
Location
OX596376.1:417337-441612[+]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [1].
Hmmscan Out
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc
1 14 0.28 16 6.6 0.0 3 23 186 206 184 206 0.96
2 14 0.001 0.06 14.2 1.6 1 23 285 307 285 307 0.99
3 14 1.8e-05 0.001 19.8 0.6 1 23 313 336 313 336 0.96
4 14 0.054 3.1 8.8 6.0 1 23 341 364 341 364 0.93
5 14 9.4e-07 5.4e-05 23.8 2.2 3 23 555 575 554 575 0.97
6 14 0.0002 0.012 16.5 0.7 1 23 581 603 581 603 0.97
7 14 0.093 5.3 8.1 4.7 3 23 670 690 669 690 0.97
8 14 0.0015 0.087 13.7 1.1 1 23 725 747 725 747 0.98
9 14 1e-05 0.00058 20.6 0.3 1 23 755 777 755 777 0.97
10 14 0.02 1.2 10.2 2.6 1 23 786 808 786 808 0.98
11 14 0.00013 0.0072 17.1 0.9 3 23 868 888 867 888 0.98
12 14 0.013 0.74 10.8 5.6 1 23 905 927 905 927 0.97
13 14 2.1e-06 0.00012 22.7 0.7 1 23 933 955 933 955 0.98
14 14 7.2e-07 4.2e-05 24.2 3.1 1 23 961 984 961 984 0.98

Sequence Information

Coding Sequence
ATGGATATAGACCCGCTAAGCTCTTACgggcaatacaatacataccaACCCTTTCATCCCCCAACCAGTATTCCATCAACACAACCCAGTGTCTCCCACACACAACCCAATAACCCCCATATACAACCCAACATCCCCCATGCACAACCCAACATCCCTCATACACAACCCAGTGTCTCCCATATACAACCCACCATCCCACATACACAACCAAACATTCCCCATACACAAACCAACATCCCCCATACACAACCCAATGACCCCCATACACAACCTATACCCTACCCATACAATAAGGATTACTACCCACATTTACTGTTCAACCAAATAAATGACCAACCATCAAGTCAAACAGACAGTCAAAAGCTTGTAGGACATACCGTAGCGGCAGAGCCAGACACAACTATGCCTGTGCAGACAAACAATAATACCGAAGATGAAGATATTAAACCTGATATAACTAAGATTAGGCTTAAACGTGTCAGGAAGCTCAAAGGTAAAACCAGCAGCTACTGGAACAAGAAAATAAACGATAAAGATTTCAAGTTCTACGGCTGTTCCGTATGCAACATATCATTCCAAGAGCTGACAGAACTTGATGCACATGTCACGATACACAGCAACCGTATCACCAGCTACGATATCAGGATACAGAATCAGAAGAAGCGGAAACGACTTAAGAAAGAGAAGAAGAGAAAGAAGAAAGATGCGAAGGTTAAGACGGAGCTGGATGTGGAAATTAAACCGGAGGACGGGTATATCGGGACGGAGAAGGTCGGGGAGTTGAACCAGGTTAACGATGTCAAAGAGAAAAGCAAAGGAAAGAAGAAGGAAAATGGGAAAAATGAGGTGTACAAATGCTTTGCGTGTAACAAGCAATTTGCGCTGAGTTACTATTTGAAGATACATGTTCGATCTCATACAGATGAGAAGCCGTATGTCTGTAACTACTGCGGCCAGACTTTCATAACAGCGAGTAAACTCGGGCGACACAACAAGCGAATACATCTCGCTATACGCCACCAGTGTAGAATATGCTTTAAGTTCTTCAACAGATTTGAACTGCTTACTAAACATTTTGACAAGAAGCATTTAGATCAAAAGTTAGATGGAGAGCCTTATGactACAATGCGATTCTGCCATACCTAACCGAATTAGAAGACCAATTTAAACTGGAATTGGAGGCAAAGAAACCCAAGACTGAGGACCCCTGGGAGTGGCCTCACGGGGCCCCAAAAGAACCCCTCGAAACCCCACTAAGGCCCCATGAAGCCCCAAGGCTTTCGGAGGCCCAAAGAGATGACCCCAATGTGCCAAAGCTCGAAGACACTAAAGtggaaaaagttgaaaaatctGAAATCCTACAAGCGAAGTTTGAGTTCGCCGAGGACATCAAGGAGAAGATCGAGGAGGTGGAAGTCAAGTGTGAGATGGTGGAGCTGGAACCGGAAGTACCTGAGGCACTTCCGGACGCGGAGGTGTTCAATGAGAGCTTCGAGCCCCAGGACGAGTCCTCGGACGAGTCTGTGAAGGAGGAAAGACTACCATCATCGGACGATGAGGAATATTTCCCCCCGGACGGGTGGGCGCGCTGCCCCCCCCCGGAGTCGCCCCCCTTGCCCCCCTCCCCCCCCGCCAAGCGGAAAGGGGGGGTGGGCTCTTGCGAGAGATGTAACAGGAGCTTCAGTAGTAACTCCTATTTGAAAATACATATGCGAACACATACAGGTGAGAAGCCGTACGCGTGCTACGTGTGCGGTCGCGGGTTCATAACCGCGAGCAAGATGCATCGACACGTGTTAACACACAACGAGACGTGGCTCGGTGAAGATGGAATTAAACCAGAGGGCGCTGAAATCAAGTCTGAAGCGGAGGATGACGCTGGCACTGAGAAGAAGATTAAAAAGTCGAAATCTAAGATAGAAAAAGCTAAAACTAGACTTCTGAAGAAGCCGAAGAAGAAAATGGACCCTAGCGTGAAGTTAGGACGCGGGCGGCCTAACTGCTGTGAATACTGCGGGAAAAAattccTCCATGTTGAAACTTTGCAAGTCCACAAGAAGTCTCATGAAGGAGAGGAATTGATTTACAAATGCAATTTCTGCTTGGAGCCGCAACTTGATCAAGAGTCGAAGCGGGAGCACGAGGCGACGCACACGGGGGCGAAGCCCTACTACTGCACCCTCTGCGGCAGGAACTACAAGGACCGAGGCGCTATGATATACCACAGGAAGAATCACAAGCCGAGCGATGAGAAGCTGTTCATCTGCGACATCTGCTCCAAGAGATTCAACTCGCAGGCGAAGCTGGCGAGGCATATCGTCACGCACTCCACTGAGAAGTTCGTGCTGCGCTACGAGTGCCCCGTGTGCGCCAACATGTTCCACACGCGGTGGCACATGCAGATGCACCTCAAGTCTCACCAGAAAGAAGGCCTAATACTAGAAGAGAACCGGAACGCAGTTCTAGCGATGGTCCTACAGAACGCGCGCAAGATACCCAAGTGTGACCCCCACGGCCCCACGctccccgcgccccccgcgacCCCCGCGACCCCCGCGACCCCCGCGCTGCACCCCCCAGACGAGCGATCCAGGATATGCAATATCTGTGGACAGGTGTTCCAACATTTCTACTACCTAGAGGAGCATCTCAAAACGCACGGGAACAAGATAGCTGTCGAAGATCTGGACAAAGAGGAAGAGAAGAAATACACCTGTCAGGTCTGTTCGAAATCCTTCAAACTGCACTATTATCTGAAGCTACACAGCTTCACGCACACGAAGGAGAAGCCGTTCATCTGCCAGCAGTGTGGCAAGGGCTTTATAACTAAGGGCAAACTCAAACGGCACCTAGAAACGCATCAGGGCCTCAAGAAATACCAATGTCATATTTGCTATAAATTCTTTACACGACCAAGTTATTTGAGAATACATGTAAGGACTATACACGGTACCCAGGATTATAATTTCAGGGATTATGGGGTGGGGGTGCCTTTGGGGTTGGGGGGGGTGCCCCTAAgtcatataaataatatgtga
Protein Sequence
MDIDPLSSYGQYNTYQPFHPPTSIPSTQPSVSHTQPNNPHIQPNIPHAQPNIPHTQPSVSHIQPTIPHTQPNIPHTQTNIPHTQPNDPHTQPIPYPYNKDYYPHLLFNQINDQPSSQTDSQKLVGHTVAAEPDTTMPVQTNNNTEDEDIKPDITKIRLKRVRKLKGKTSSYWNKKINDKDFKFYGCSVCNISFQELTELDAHVTIHSNRITSYDIRIQNQKKRKRLKKEKKRKKKDAKVKTELDVEIKPEDGYIGTEKVGELNQVNDVKEKSKGKKKENGKNEVYKCFACNKQFALSYYLKIHVRSHTDEKPYVCNYCGQTFITASKLGRHNKRIHLAIRHQCRICFKFFNRFELLTKHFDKKHLDQKLDGEPYDYNAILPYLTELEDQFKLELEAKKPKTEDPWEWPHGAPKEPLETPLRPHEAPRLSEAQRDDPNVPKLEDTKVEKVEKSEILQAKFEFAEDIKEKIEEVEVKCEMVELEPEVPEALPDAEVFNESFEPQDESSDESVKEERLPSSDDEEYFPPDGWARCPPPESPPLPPSPPAKRKGGVGSCERCNRSFSSNSYLKIHMRTHTGEKPYACYVCGRGFITASKMHRHVLTHNETWLGEDGIKPEGAEIKSEAEDDAGTEKKIKKSKSKIEKAKTRLLKKPKKKMDPSVKLGRGRPNCCEYCGKKFLHVETLQVHKKSHEGEELIYKCNFCLEPQLDQESKREHEATHTGAKPYYCTLCGRNYKDRGAMIYHRKNHKPSDEKLFICDICSKRFNSQAKLARHIVTHSTEKFVLRYECPVCANMFHTRWHMQMHLKSHQKEGLILEENRNAVLAMVLQNARKIPKCDPHGPTLPAPPATPATPATPALHPPDERSRICNICGQVFQHFYYLEEHLKTHGNKIAVEDLDKEEEKKYTCQVCSKSFKLHYYLKLHSFTHTKEKPFICQQCGKGFITKGKLKRHLETHQGLKKYQCHICYKFFTRPSYLRIHVRTIHGTQDYNFRDYGVGVPLGLGGVPLSHINNM

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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