Basic Information

Gene Symbol
-
Assembly
GCA_000371365.1
Location
Scaffold18839:194073-199870[+]

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 16 0.00015 0.0073 16.4 0.5 2 23 221 243 220 243 0.95
2 16 4.9e-05 0.0024 17.9 5.9 2 23 251 273 250 273 0.96
3 16 0.00092 0.046 13.9 4.9 1 23 289 312 289 312 0.96
4 16 6.5e-06 0.00032 20.7 1.8 3 23 338 358 337 358 0.99
5 16 0.00091 0.045 13.9 3.7 1 23 364 386 364 386 0.98
6 16 1.3e-05 0.00064 19.7 2.0 1 23 392 414 392 414 0.99
7 16 1.4e-05 0.00072 19.6 2.2 1 23 420 442 420 442 0.98
8 16 4e-05 0.002 18.2 1.4 1 23 448 472 448 472 0.91
9 16 2.2e-05 0.0011 19.0 0.9 2 23 712 734 711 734 0.95
10 16 0.00012 0.0061 16.6 4.7 2 23 742 764 741 764 0.95
11 16 0.0099 0.49 10.6 4.7 1 23 780 803 780 803 0.95
12 16 5.7e-05 0.0028 17.7 0.7 3 23 831 851 830 851 0.98
13 16 1.3e-06 6.5e-05 22.8 0.6 1 23 857 879 857 879 0.99
14 16 5.3e-06 0.00026 20.9 1.5 1 23 885 907 885 907 0.99
15 16 1.1e-05 0.00056 19.9 3.2 1 23 913 935 913 935 0.99
16 16 0.00014 0.0068 16.5 2.1 1 23 941 965 941 965 0.91

Sequence Information

Coding Sequence
ATGGCCATTGAGGAGGAGTCGCCATCAAGGGAATTAAGCTATGGTGAACTCTTGAAGGAAGTTATAAATATAAGTATGGAGGATATCGAATGCACGGAAATGCCTCAATTTATCTGTGCCTGCTGTTCACGTAAACTCAAGTCATCCCACGCTTTCATAAGACAGGCCAAGGAGAGCCATGAAATTTTAATGTCCACGTTGAAAAAAGATGGCATGGATGAAACATCTACCCTGGATTGTCTACAGGAATCACAAATTGATATAGAAAAGTGTctggaaataaaaatggaaagcgCTGACGACAACGAAGATGATGTGGTGAACAAGGAAATGGACAGTGTTCGATGCAACAAGACTGAAATAGACATTTGCCGAAATCCAGTTGATTCAGTCCCACCTAAAGATGAGGAAAATGTAAAAGTCCCCTCTGGCGAAATTGAAGATGAAATACCCATACCCAATGATGACATTGACTTTGATTCGGATTCATCGAAAATGAACGGAGCAGACTTTTCCGATAGTGACTGCAATAACGAAGACGACGAAGTAGATCCCAATTGGCTGGCAAAGACTGACACGACTTCCGCTAGTGATAACCTCACGgggaaaaagaaaagaacatCAAAAATAAGAGAATCATTGGAAGAAGCCATTGCAGTGCCATGTACccagtgcaaaaaaatatttacaaatgccAAAGTATTGGCCAGACATCTAAGGAATACTCATGTACCCGAAGAACAGAAGTGTTCATGTCCCTTGTGTGGTATAAAATTTACACGTTCATGTAATATGTTCAAACATATGCGTACCCAACATGATCCGGATACAGTGAAAAATCTCCTACCGGCCAGTGAAAAAATGCATCAATGTGATAAATGTCCACAGAAATATGCCAAAAAGAAACATCTGAATAATCACATCAAGGCAAAACATAGTAATGACCAGGAGGCGGGCGAAAATTCTGATGAGGcagataataaaaacaacaaagcgGAAGATCGTTCATTGTGTTCCATATGTGGTTGTTCGTTTTCCAAAAAAGCATATCTTATTGTTCACATGAGAAAACATACGGGAGAACGACCGTTCCAGTGTGATTTATGTGAGCGGGCATTTGCCCACAACTCTGAATTGAAATGTCATCGACGCATCCATACCGGTGAGAAACCATACAAATGTAAGCTGTGCGAGAAGGCCTTTAGGGTGTATAAAAAACTTGCCACCCATATGCGTTCTCATACCGACGAACGACCCTATAAATGTAATCAATGTGAGAgaagttttaaatattcaaaagatCTAAATATTCACAATCGAATACATACCGGCGAAAGACCGTATTGTTGTCCAGTGTGTGGCAGTACTTTCACACAAAGTAATTCTCTGAAAGCTCATCGCATGAAATTGGGTCACATGGATGATAATGTAGCAACAACAGCGCCAAGTGCCGGTGCATCGTCATCCGTAACAAGTACATCAGCACCAGCGTCATCATCAGTCCCATCATCAATAAATCATTTACTATCATATGATTTAGAATCCCTTgaagaaattgttgttattgacCAATCCCTGTCGCTATCATATGCCCAACTATTGAAGGATGTAACAAGTATTAATGTGTTGGCCGATGCAGATTCAGCCATAATGCCAAAATCTATTTGCCAATCTTGCTCGGAGAAACTCAAACAATCCCATGGATTTATAAAACAAGCCTGGTCGGCCAATGAACAATTACAGAGCTTACTAAAGAGCTCTGAAACATTAGATTGCTTACAAGAGTCTGAAATTGATATAAATAGCTGTTTGGAAATAAAACTAGAAAATAATGAAGACCTGGTGAACGACAAGAAGGTAACGCCCGGAAAAGATGATAAAGGGTGCAATTTGGCAGATAATTTAAATACCATTGAGGACAGCAATAGAGATGACTCAATCTTCAGCCCAGAGATGGAGGATAGTTTAGCAAAAACCGAATCTGATATTTCGGAAAATACGAATGCTAATGAGGAGCTGTTAACATCTGATGCCATTAAGGaaaaatcgaaaccaaaatcaaatacaaaaaataaaaaaccctcCACCAAGAGATTAGAAAGCAAAGATATCAAGGATGAAGACATTGCAGTGCCATGTTTACAGTGCaataagatttttaataattccaaaGAATTGACAAGACATCTGCGCAACACCCACCTGCCGGAGGATCAAAAATGTGCTTGTCCCTTGTGTGGCATAAAGTTTACACGTTCCTGTAACATGTACAAACACATGCGTAAGCTACACGATCCAGAATCGGTCAAGTCTTTGTTGCCCACTAAAGAGAAACCCTTTGAATGTGATAAATGTCATCGTCGATATACACAACAGCGTCAATTGAACTTCCACATTAAAGAGAAACATTCAAATGACCCAGATAATACCCAGGACTCCAACTCGAGCAATTGCAATGATAAGAAGAAAAAGCCGGATGTACGACCCCTGTGTTTTGTATGTGGCAGCTCATTTTCTAATAAAGCCCATCTAATTGTCCACATGGCAAGACACACGGGTGAAAAACCCTTCAAATGTGATCTTTGTGATAGAGCCTTTCCTCGTACATCCGATTTGACGTCACATCGTCGCATACATACGGGTGAAAAACCATTTAAGTGCAAATTGTGTGAAAAGGCTTTTCGTGTCTCAACAAAATTAGCAACACACATGCGTTCCCATACCAATGAACGACCCTTTAAATGTAAACAATGCGAAAgaagttttaaatattccaaagatTTGAATATACACAAACGGGTGCATACCGGAGAACGACCTTATTGTTGTACTGTCTGCGGCAGTACATTTACACAGAGTAATTCGTTAAAAGCCCATCGTATGAAATTGGGTCACATGGGGGTGCAGGAGGAGCCAACGTCACAAATAATGCATTTTATTAGTTga
Protein Sequence
MAIEEESPSRELSYGELLKEVINISMEDIECTEMPQFICACCSRKLKSSHAFIRQAKESHEILMSTLKKDGMDETSTLDCLQESQIDIEKCLEIKMESADDNEDDVVNKEMDSVRCNKTEIDICRNPVDSVPPKDEENVKVPSGEIEDEIPIPNDDIDFDSDSSKMNGADFSDSDCNNEDDEVDPNWLAKTDTTSASDNLTGKKKRTSKIRESLEEAIAVPCTQCKKIFTNAKVLARHLRNTHVPEEQKCSCPLCGIKFTRSCNMFKHMRTQHDPDTVKNLLPASEKMHQCDKCPQKYAKKKHLNNHIKAKHSNDQEAGENSDEADNKNNKAEDRSLCSICGCSFSKKAYLIVHMRKHTGERPFQCDLCERAFAHNSELKCHRRIHTGEKPYKCKLCEKAFRVYKKLATHMRSHTDERPYKCNQCERSFKYSKDLNIHNRIHTGERPYCCPVCGSTFTQSNSLKAHRMKLGHMDDNVATTAPSAGASSSVTSTSAPASSSVPSSINHLLSYDLESLEEIVVIDQSLSLSYAQLLKDVTSINVLADADSAIMPKSICQSCSEKLKQSHGFIKQAWSANEQLQSLLKSSETLDCLQESEIDINSCLEIKLENNEDLVNDKKVTPGKDDKGCNLADNLNTIEDSNRDDSIFSPEMEDSLAKTESDISENTNANEELLTSDAIKEKSKPKSNTKNKKPSTKRLESKDIKDEDIAVPCLQCNKIFNNSKELTRHLRNTHLPEDQKCACPLCGIKFTRSCNMYKHMRKLHDPESVKSLLPTKEKPFECDKCHRRYTQQRQLNFHIKEKHSNDPDNTQDSNSSNCNDKKKKPDVRPLCFVCGSSFSNKAHLIVHMARHTGEKPFKCDLCDRAFPRTSDLTSHRRIHTGEKPFKCKLCEKAFRVSTKLATHMRSHTNERPFKCKQCERSFKYSKDLNIHKRVHTGERPYCCTVCGSTFTQSNSLKAHRMKLGHMGVQEEPTSQIMHFIS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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