Basic Information

Gene Symbol
-
Assembly
None
Location
HiC:1156345-1158012[-]

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 11 1.9e-06 0.00013 22.1 0.5 1 23 10 33 10 33 0.96
2 11 1.1e-06 7.3e-05 22.8 2.7 1 23 39 61 39 61 0.98
3 11 8.2e-06 0.00054 20.1 0.1 1 23 67 89 67 89 0.98
4 11 0.0054 0.36 11.2 0.1 1 23 95 117 95 117 0.94
5 11 0.00012 0.0077 16.4 1.8 6 23 127 144 125 144 0.98
6 11 0.00025 0.017 15.4 2.6 2 23 365 387 365 387 0.95
7 11 0.00054 0.036 14.3 0.4 2 23 393 415 392 415 0.91
8 11 9.3e-05 0.0061 16.7 1.1 1 23 422 444 422 444 0.97
9 11 8.3e-06 0.00055 20.0 2.7 2 23 451 472 450 472 0.97
10 11 2.3e-06 0.00015 21.8 0.6 2 23 479 500 478 500 0.97
11 11 3.2e-05 0.0021 18.2 6.0 1 23 505 528 505 528 0.96

Sequence Information

Coding Sequence
ATGCGAGCGCACATCGGAGAGAAGAGATACAGTTGCCATACTTGCGGGCTAGCGTTCAACGACAGCGGGAATCTGGCCCGCCACAGAAAAGCTATACATGCAAAACACCGACCTTTCTCTTGTCCCGTATGCAACAAAACCTTTTCGAGGAACGCTCACTTTCGGGACCATGCGAAATCTCACTCGGAGAGCAGAGACTTTGTCTGTGACATTTGCGGCAAAGCGTCCAAGTCTAGCGCCGCGCTACGCATGCATCGGAAAATTCATCAAGAGGAATTCAAATTCAGCTGCATAAAATGCGGTGCAAAGTTCAAGCGAGGCGGGGAGCTGCGAGCGCATGTCACCGTCCACACCGGAGAAAAAGCCCACTCGTGCTCCTGCGGTAAATCTTTCCGTCTTCGCAGTCAACTCAACGCACACTATAAAACACACGGCGTAGAGTTTAAGGATTCCATAGAATCCGGTGAATACAACAAAGGAAGACCTTGCGAATATTGCGGTGTCAGACAAAGCGAGGAGGATTACCCGGAGCACTTGATCTCTATGCATTCCGAGGATCTGCTTCCTTTCCGCGAACGCGATCCTTTTCAGTACGTCATAAGCGACGACGATGATGAATACGAAGAAGAAAAACCCGTCAAAAGATCTAGACAGACAAAAATTTGGGAAATACCTATAACGGTAGAAACGGCGAAACAAATTACGAATGAAGTACCAACGGAAGAAACACAAATGTATAATCCGGCGGTATTTACCAACGTAATAAGATACGCAAAAAAAAATTCGGAACCGACGGGGGAAACAATATGTGTTCCAAATCCTAAACCACGTTATAAAAAAGGAACCACACAAAAAAGGACTAGAACACCCAGAAACTCACAAATCAGCAAAGAACAAACATCAAATGCGGTTATCATGGCGACCAAAGACTTGCAAAATAACCAACGAGAAGAGGAGCCCGCGCCGGAGCAAGAGAGCGAGGACCTCGACGAGCCGCTCGAGATCAACGGGCCCAGCAAGCAGGTCGACAACATCGAGATATTCATGGAGGGCGTCGATAAGCTGAAGGTCAAGAGGAAGATGAAGCCGCGCCGCTGCAAGTACTGCCCCCGGGTGTTCACAGTCCAGTCCAGCTACACCTATCACGTTAAGCATTCACATGTATTTGAAGAAATTGAGTGCAGCATGTGTAACAAGAAGTTCCGCAACAAGCAAGTTCTGGCGCAGCACGTAACGCTCATCCACGAGGGCACGAAGAAGTCTTTCGAATGTAAATACTGCCTGAAGCAGTTCACCTCGAAGGCCAACCTGTACGGCCACGAGCAGATCCACCTGGACATGAAGAAGTGGCCGTGCAACGAGTGCGACCGCTCCTTCCGCTGGCGCACGCATCTGCAGCGCCACATGAAGCGGCACTCGGTGGACCGCCAGCTCGTCTGCCAGACCTGCGGCCGCCGCTTCAACGTGCTGGACGACCTGCGCCGCCACCAGAACACGCACACCATCGCCCACCACATCTGCACACACTGCGACCGACGCTTCTCCCAGCTAAGGTACCTCCGAGTGCATATGAATAAAAAGCATAATATTAACATCTCCGGAAATTAA
Protein Sequence
MRAHIGEKRYSCHTCGLAFNDSGNLARHRKAIHAKHRPFSCPVCNKTFSRNAHFRDHAKSHSESRDFVCDICGKASKSSAALRMHRKIHQEEFKFSCIKCGAKFKRGGELRAHVTVHTGEKAHSCSCGKSFRLRSQLNAHYKTHGVEFKDSIESGEYNKGRPCEYCGVRQSEEDYPEHLISMHSEDLLPFRERDPFQYVISDDDDEYEEEKPVKRSRQTKIWEIPITVETAKQITNEVPTEETQMYNPAVFTNVIRYAKKNSEPTGETICVPNPKPRYKKGTTQKRTRTPRNSQISKEQTSNAVIMATKDLQNNQREEEPAPEQESEDLDEPLEINGPSKQVDNIEIFMEGVDKLKVKRKMKPRRCKYCPRVFTVQSSYTYHVKHSHVFEEIECSMCNKKFRNKQVLAQHVTLIHEGTKKSFECKYCLKQFTSKANLYGHEQIHLDMKKWPCNECDRSFRWRTHLQRHMKRHSVDRQLVCQTCGRRFNVLDDLRRHQNTHTIAHHICTHCDRRFSQLRYLRVHMNKKHNINISGN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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