Basic Information

Gene Symbol
-
Assembly
GCA_029963805.1
Location
JAPWTK010000487.1:80560-82704[-]

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 12 0.095 7.3 8.1 0.7 1 21 129 149 129 150 0.91
2 12 3.7e-06 0.00028 21.9 3.5 1 23 158 180 158 180 0.99
3 12 5.5e-08 4.2e-06 27.7 0.4 1 23 186 208 186 208 0.98
4 12 4.8e-06 0.00037 21.6 2.6 1 23 214 236 214 236 0.99
5 12 0.00022 0.017 16.3 2.5 1 23 242 264 242 264 0.98
6 12 0.00029 0.022 16.0 0.2 2 23 275 296 274 296 0.97
7 12 0.00023 0.018 16.3 1.1 1 23 304 326 304 326 0.97
8 12 1.4e-07 1.1e-05 26.4 6.5 1 23 332 354 332 354 0.99
9 12 1.7e-06 0.00013 23.0 1.3 1 23 360 382 360 382 0.98
10 12 6.2e-06 0.00047 21.2 1.0 1 23 388 410 388 410 0.99
11 12 4.5e-06 0.00034 21.7 1.1 1 23 416 438 416 438 0.98
12 12 0.00022 0.017 16.4 3.9 1 23 444 467 444 467 0.96

Sequence Information

Coding Sequence
ATGGCTTTAAAAGCTCCAGATTTTCGTATAAAGGAAGAACCCCAGGACGAAACTGACGGAGCTGCAGAATTAAACTCCGCAACTCCGCATATTACCGTAAAACTAGAGGATGACACGGTTTCACAAGACAAGCCCGACTTTATTAATTTAGAGAGTAGTTCTATCAAAGATAATTTTAATGGCATGGTAAAAGAAGATATTTTCTATGAAAATGTGTCTAGTACTGGGCCTCATCCAAGACAAGACATATTTCAGCATGTAAAGCAGCTTCAACAGATGCAGGAAGGTGTTCGGGATGCAGATAATTTACATAAGAAAAAAGATAACTCTGGGTCTGACCCTATAGGGTCTGACAGCTCTTCAAGTGACGATAGCGACGGCGAATTCACATGTAAAGTTTGTAAACAGGTATTTTTGGACGAATTTGATTTACAATTGCATTTCAAGTCGAGACGGTCGGCTGAAAAATGTTATAAGTGTTGTGGATGTGACAAAGTGTTCAGGGATAACACACAGTTGAACGTGCATTCCAGGAAACATACTGGAGAACAACCCTATGCCTGTACTGTGTGTGGGAAAAAATTTTCAGTCAATGGTAACTTAAGCAAACATATGAGGATTCATACTGGCGAACGGCGATATGAGTGTGATACCTGCGAAAGAAAATTTACGCAGTTTGCTCATTTAGAGGATCACATGAAGACACATTCAGGAGATAGACCATACGTGTGTGACTTTTGCAATAGTGCCTTTAAGACAAAGGCGAGACTGAGAAAGCACAGAAAGTCCCACGAAGAtgacaaaattacaaaaaggtCTGTGCCGTGTCCTATATGCTTTAAAATGCTGAAAAGCACCAAGCAGCTCCTGGCCCACATGGACACTCACGATACGGGTGGCACTAACCCATTCCCGTGCAATGTCTGCggcaaaagttataaaaatcTGTTCTACTTAAATTTCCACTTGAAGGTTCATGGAGGAGTGAAAGAATTCAAATGCAACCTGTGCGATAAAGCCTTCTGTAATTCCAGCCACTTGAGGAGACACATGAATTCACATACAggCATAAGGCCATTTAGTTGTGAGTTATGCAAGAGGGCATTTCCCTCCCAACAGAACATGAAAAGGCACATGATGACCCACACAGGTGAAAAGCCGTACAGTTGTCAGGAGTGTGGAAAGGGTTTTTTAACGTTGGAGAATCTAAATCGTCACAAGAGGACTCACACCGGCGAAAAACCATTTCCATGCAatatttgtggaaaattttttgCTCACAGTACAACAGCCAAGGAACACATGAGAATTCACACTGGAGATAAGCCATTCTGCTGCACTCTTTGCGACAAACGGTTCTCACTGAATAAGGCACTTTACAAGCATATTCGGGAACGACACGCCGCTTACTTCCCAGAGTTTAAGAGGATGAATGACCTGCCACCTAACGACATAGTTACAAAGAGTGAGAAAGGGGATGAGGATATTGAAGAGGTTGTGAATGAGATTCCTTTTGTCAAAGTCGAGAAACAAGAGTTTGATTATGTTTAA
Protein Sequence
MALKAPDFRIKEEPQDETDGAAELNSATPHITVKLEDDTVSQDKPDFINLESSSIKDNFNGMVKEDIFYENVSSTGPHPRQDIFQHVKQLQQMQEGVRDADNLHKKKDNSGSDPIGSDSSSSDDSDGEFTCKVCKQVFLDEFDLQLHFKSRRSAEKCYKCCGCDKVFRDNTQLNVHSRKHTGEQPYACTVCGKKFSVNGNLSKHMRIHTGERRYECDTCERKFTQFAHLEDHMKTHSGDRPYVCDFCNSAFKTKARLRKHRKSHEDDKITKRSVPCPICFKMLKSTKQLLAHMDTHDTGGTNPFPCNVCGKSYKNLFYLNFHLKVHGGVKEFKCNLCDKAFCNSSHLRRHMNSHTGIRPFSCELCKRAFPSQQNMKRHMMTHTGEKPYSCQECGKGFLTLENLNRHKRTHTGEKPFPCNICGKFFAHSTTAKEHMRIHTGDKPFCCTLCDKRFSLNKALYKHIRERHAAYFPEFKRMNDLPPNDIVTKSEKGDEDIEEVVNEIPFVKVEKQEFDYV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-