Basic Information

Gene Symbol
-
Assembly
GCA_028641665.1
Location
CM054006.1:384539-389313[+]

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 15 0.00026 0.03 15.1 0.8 1 23 468 490 468 490 0.97
2 15 0.0022 0.25 12.2 2.8 2 23 501 523 501 523 0.94
3 15 0.00076 0.088 13.6 0.1 1 23 530 552 530 552 0.98
4 15 5.1e-06 0.00058 20.5 2.6 1 23 558 580 558 580 0.96
5 15 2.1e-05 0.0025 18.5 3.1 1 23 589 611 589 611 0.97
6 15 2.1e-06 0.00025 21.7 0.8 1 23 617 639 617 639 0.98
7 15 2.2e-06 0.00026 21.6 0.2 1 23 644 666 644 666 0.98
8 15 0.0028 0.33 11.8 4.2 1 23 673 695 673 695 0.98
9 15 1.8e-05 0.002 18.8 0.3 3 23 716 736 714 736 0.97
10 15 8e-06 0.00093 19.8 0.7 2 23 744 766 743 766 0.96
11 15 0.12 14 6.7 0.4 1 23 772 794 772 794 0.96
12 15 0.015 1.7 9.6 5.7 1 23 800 822 800 822 0.98
13 15 2.2e-06 0.00026 21.6 0.4 1 23 828 850 828 850 0.98
14 15 4.3e-07 5e-05 23.8 1.5 1 23 856 878 856 878 0.98
15 15 0.0051 0.59 11.0 0.3 1 23 883 906 883 906 0.90

Sequence Information

Coding Sequence
atgaaaatagtttgtgcatcatcatcatgtaaatattcatcaaaaaatgaagattccagcaacattatttttatcagcttTCCAAATGATGATACATCAACAGTTTGGGCCCATCATTGTGGCCGACCagatttaatgatgaaatcaAACGaagaattacataaaaattactacaTCTGTGCAGATCATATAGAAGATCgatattttataagtaaaacGAATCACATAATGATTGCTCAAGGTGCTGTACCAACActttttggaataaataatgaatctcCTCAACACTGTCATGATCATTCAGCTTTGAAACAACAGTATGCCTCAGATCATGTTATAGAAACGTTGCATTTAGATAACTGTATCAATAACGTAAATAATACATGCTCATCTGACTATGTGAATACAGGGGATTCTACGTATCAAAATGCTATGTACAATTCTGATTTACATGATACgaataatcatattaatgaaataaatagaaatgaagAACAACCAGTTGATCATACTGACaataattctttgaatttttgtagcataaatatcaatattgatCAGTTTGATGATGTGACAATAaggtttaataatttatgtcgAGTTTGTGGACAAGGAATCAATcctaataattttgatttcttcACTGAAAAAGGTGGTGAGCTTAAACTTAtcgaaaaaattcatctacaTTTACCAATCTTGATTGAAAATGAAGATTCAATGCCACAGAAAATTTGTGCAGACTGTTATGAGAAATTAGAAGCATCTCATTCTTTGTTTATCACTTGTTTAAGGACAGATATAAGACttcgaaaatatttaaatcttccttgcaagTATAACAATGAAGATAGATTTCGAGAATTAATTACACTTCatgaattagaaataaataatgaaatgtgCATTGATGCTTCTAACGTAGAGGAATTACCAATATctcaagaaaaagaaaaacataatGATGCATTAAGTGATGAGactaataaaaattcgaaCACCCATGATATAAATGTTCACGATCACCAATCTGTTATTCAATGtcctgaaaataatttagtatcTTCAAAAATGGAAAATCGTTTCAAATTTGTTCTACAATCagatttaaacaatttaatattagaaCCTTTACAAACTATGCAGAACGATATTCGAAATAACTCTGCTAATACTTCTGTTGTACAAAATGTGAACGTAGTAATTAATAAGGAATGTAGACAAGTAATATCTCTAAACGATAATAGTGATAAAATACAGAATCAATGCGATGATACTCaagtattaaatataacaGAAACTAATTGTCAAGTTAACTGTAgtgtaagtaaaaatatatttgaaaatgataaaatttgtaaagaCAGTAATAGAGTTTTATATAAAGAGAGTTCAGAAGAATTCCGATGTGGAAAATGtgatagtaaatttattaatcaaaaagaaTTAACGCAACATGAGTTGAtacatttaaaagaaaaaaattctgaacaACAACGACGCTGTGGTCATTGTTCTGAACcgtttttcaatagaaaatcaTTACAAACACATATGTCAGAAAAACATGTTGGACAACAACTCCTTTTTAAGTGTGGTTCATGTGATAAAATTTACGAAAAGTGGTCGAGTTTAGATGTTCATGAAGCAACTCACCGACAAGATAAACCTTACCTTTGCGATCTGTGTGGTAAAAGTTTCAAGCATTCGAATAATTTAAGAGGTCACAAACGAATACATTTagatatttcgaaaaaaaaacggcATGTCTGTGAAATTTGTGGAAATGCTTTTAGATCAAGgTTCCATCTCAAAGAACACATGAATCAACATAATGGAAATAAACCTTATGTGTGTGAGCAATGCGGAAAAGCTTTTTCAAAACGAATTCAATTACGACAACATCGTCTTTCCCATGGATTGAATAAATACGCCTGTCCAATTTGTGGAGTAACATTCAATCGTAGAGGGAATATGAATACTCATGTAAAAAGACATAGTAATTATGATGGCATGTATACTTGTAGTgtatgTGAGTATCGATGTAAATCGATGAGTGAGCTTAAATTACACCGAAAGCAACATTCAGACAGTGATATCGCagaaagtataaaaaagaaatgtagcAATAAACAGGTGTGGGACTGTAAAGTATGTTCTAAAGTATTTCCAAAACGCAGTGCATTGTTAAATCACGAACGTACACATGATGGAACTCAAGTAAGAGTGGAATGTGATAAATgcggaaaaaaattatcaagtaaaaGTTCTTTGAAGTACCACATCAAATCAGTACACACATTTGAACGACCACATATGTGTCAATTTTGTGGAGATGTATTTATTTCGAAAGAAGCCCGGCTCATTCATGAGCGGATACATACTGGCGAACGGCCATACTCTTGTGAATTGTGTAATACGCAATATCGATGTTCCAGTCATCTTAGTCAACACATGAAAGTTCATTCCGAAATACGACCTTACGTGTGTGGATATTGTAATAAGACTTTTGCACGCAAAGGATCAATGACTGTCCATGAACGGATTCACACAGGAGTTAAACCATTTGTCTGtaatatttgtgataaaacatttatacaGAAATATGATATGATAAAGCATACGAAAACTCATCAAATTAAAACATTCCTCTGTGAAGATTGCAACGAATCGTTCCCAACAAAGACTGACatttttgaacattttgaGAGTGTTCATAAGCCAAATTCTTTAAGTTCTTCgattgatgaagaagaaaaattacctgaacatataaaaacatattcaGCAGACGTATCACATACTAATAATATAGAAGAAACTACTTACCAACATCCAATTCCTGAATCATATGACAACACACCACCTGTACTGAGCGCTCCAGGGTTGGATTATGTTATGTTTAGTGAGGATATTACGCAAGATTATATTTCTACGAATCTACCTGTGGATGCTTTTTTACAGTTACATAGCCATTTAATGACAATcaggtaa
Protein Sequence
MKIVCASSSCKYSSKNEDSSNIIFISFPNDDTSTVWAHHCGRPDLMMKSNEELHKNYYICADHIEDRYFISKTNHIMIAQGAVPTLFGINNESPQHCHDHSALKQQYASDHVIETLHLDNCINNVNNTCSSDYVNTGDSTYQNAMYNSDLHDTNNHINEINRNEEQPVDHTDNNSLNFCSININIDQFDDVTIRFNNLCRVCGQGINPNNFDFFTEKGGELKLIEKIHLHLPILIENEDSMPQKICADCYEKLEASHSLFITCLRTDIRLRKYLNLPCKYNNEDRFRELITLHELEINNEMCIDASNVEELPISQEKEKHNDALSDETNKNSNTHDINVHDHQSVIQCPENNLVSSKMENRFKFVLQSDLNNLILEPLQTMQNDIRNNSANTSVVQNVNVVINKECRQVISLNDNSDKIQNQCDDTQVLNITETNCQVNCSVSKNIFENDKICKDSNRVLYKESSEEFRCGKCDSKFINQKELTQHELIHLKEKNSEQQRRCGHCSEPFFNRKSLQTHMSEKHVGQQLLFKCGSCDKIYEKWSSLDVHEATHRQDKPYLCDLCGKSFKHSNNLRGHKRIHLDISKKKRHVCEICGNAFRSRFHLKEHMNQHNGNKPYVCEQCGKAFSKRIQLRQHRLSHGLNKYACPICGVTFNRRGNMNTHVKRHSNYDGMYTCSVCEYRCKSMSELKLHRKQHSDSDIAESIKKKCSNKQVWDCKVCSKVFPKRSALLNHERTHDGTQVRVECDKCGKKLSSKSSLKYHIKSVHTFERPHMCQFCGDVFISKEARLIHERIHTGERPYSCELCNTQYRCSSHLSQHMKVHSEIRPYVCGYCNKTFARKGSMTVHERIHTGVKPFVCNICDKTFIQKYDMIKHTKTHQIKTFLCEDCNESFPTKTDIFEHFESVHKPNSLSSSIDEEEKLPEHIKTYSADVSHTNNIEETTYQHPIPESYDNTPPVLSAPGLDYVMFSEDITQDYISTNLPVDAFLQLHSHLMTIR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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