Basic Information

Gene Symbol
-
Assembly
GCA_963082605.1
Location
OY720232.1:10004240-10012384[+]

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 0.061 4.9 8.7 1.9 2 23 525 547 524 547 0.93
2 14 3.6 3e+02 3.1 0.1 1 23 553 575 553 575 0.94
3 14 0.0079 0.64 11.4 1.2 3 20 583 600 581 603 0.91
4 14 0.022 1.8 10.0 0.1 1 21 607 627 607 628 0.94
5 14 0.64 52 5.5 0.0 2 23 662 684 661 684 0.94
6 14 0.0002 0.017 16.4 0.8 1 23 719 741 719 741 0.98
7 14 0.005 0.41 12.1 0.5 3 21 748 766 747 767 0.96
8 14 1.4 1.2e+02 4.4 2.8 3 23 783 803 782 803 0.98
9 14 0.1 8.4 7.9 0.8 2 15 811 824 811 827 0.87
10 14 0.00024 0.019 16.2 0.9 1 23 830 852 830 852 0.96
11 14 0.0019 0.15 13.4 1.0 3 23 861 881 860 881 0.98
12 14 1.4e-05 0.0011 20.1 4.1 1 23 887 909 887 909 0.98
13 14 0.0003 0.024 15.9 3.6 1 23 915 937 915 937 0.97
14 14 1.8 1.5e+02 4.0 8.9 1 23 943 966 943 966 0.96

Sequence Information

Coding Sequence
ATGTCACAAACGAAAAATATACGCACGTATGGTGGACGAAAAATATGCTTTAGTGAGTGCCGATTCTGTGCTGCAAAAATGGACAAAAAGCAACTGCTGGACTTAACTCTAGAAGATAACTCTTTAACCTATAAGAAGATGATGTCAGTCTTGAAGTTAAACGTCGATTTATCTCAACATAATAAGCTACCGAAAGCGGCCTGTATAGAATGTCATACGAAATGCTTAGAgtgtttcaatttctttttgacTGTAAGTAAAACACAAGAAATACTAAGTGTGATGTATAATAACTCAGAAACAGGGATACGCGATGGTTGGGAGAACCTTGAAAGCAAGGTGTTGCAAACCAATAAGGAAGTTGAACGTGATGTCAACAGAAATCCTATGTCTATTAACATAGATTGTGTACATACACAAGACATCCCTGGCTCATCTAAGTGTGTTCCTGCTAGTAATCTCAGCAGTCATTCTTCAGAGCCCTGGGTATGTTTTCCAGATATTCAGAACACAGCAGATATAAGTGAAAGTCATGTAGATAATACTGCACTTGAAATGAATTTGCAACTTAATAAATCATTCGAcgataaaagtaattttactaaTACTATTAGTCAAACTCCAGTTGAACCTTTACAGAGTGTTATGGATGATGAGAACATAGAAGATTTGTGTGAATTCAAGATGATGTTTAACGCTTTAAGCAATGATATATCTATGAATATTGATGCCATACAGAATATAGACTATAGCGACATCAAAACTAATATACAAAATGATGTAGATAGTTCAAAAACTGATATGAATGCACTATTGAAAAGAAATAACTATGTCACAGAAACAGAAGTTAGTGGAACAAATTCAAGCCAGTCTAATTTCAATCAAAACGCAGCTCAAAATGGTACAGATATTGCACAGAATACTAATTATGAAGAGTGTGAAACAAAACCAGTCATACAAAACACTCAATCTGAAACTATAACACAatctatacatacaaacaaCACTTCACAACCAAGTgttaatgaaaatgtaattgATAGTGAATTGGATTCCAACCGGAATATGAATCAACATGACTCAAATGCTGTTATTCATATTGATCGTACTGAGAGAAATGTAAAAATAGAAGATATTGGAGAAGAAATAAACGCAACACCTGAACAACTTTCAAATGCAAATCTTTGTTTGCTTTCTGCAATTAATGATCAAGACAACATACCTAATGATGAAGAACCTCATAGATTAACagaacaaataaatcaaaacaatgttCATAAAaccgttaataataataatgatgaacgTCAAACAGTCATACAAGAAAGTAAtgaagaagaaatattaaatCCTACAACACCATGGCGGTTTGATCATGATGATATAGCAGAAAATAACGAACCAAAAACACCAATACTATGGaaggaaaaatatgtttacaatGACACTTTGAAGGAAGACATGGAGAAAGTTAAACAACACTTTGTTGAGTTGTCAGCGGATAAAGAAGTTTCTAGAGTTTATCCCGAAGATGAGTATTTGGtgaaaaaatcttggaaaacATATCCGTGGTGTTGTTACGATTGCAACGCTGTATTTGACAGCTGTGAGGATCTACGTGGTCATAGGCAGTACGTGCACAAACGATGCTCCGGATTCCTCTGTTGGGACTGCAAAATGGAAGTTAGTCTCTTTGGCACGTTTGTTGATCATGTGAGGATACATAGACACTATTTGAgATTATTCTGCGAATACTGCAACCAACACTTCCCAGATAAATCATCATATTTGAGCCACATCCCCAGTCACAAAACACAACACATTTGCACGACCTGTGCGGAGGTGTTCCCAAGTGAAGCTGAACTGAGAGATCATCGCAGGCAGTATCAAGTGAGAAGCAAACTACATCAGGATATTGACCAGGATATTGTGCCTGATGTTGTAGAAGCAAAGAGCAATATGACGTGGAAGGACTATAAGTGGACGTGTCTGGATTGTTCCAAGGTGGAGCGGGACATACAGAGCCTGCGAGCGCACGTTCGTGCCGCCCACAACAAGTGCTTCGCGGCGAAGTGCTCGGACTGCGGGCTCGACACCAAGCCGTCGCTACGCATGCTAGCGAAGCATGTTGTACTGCACCGGCCTTATTTAAGATATTACTGCCACTACTGCGACCAACAACTCACCGATATCGGCAATCTAAACGCGCACATCAACCAACACTTGCTACAGGAAAACCTTTGCTTCAAATGCGGAGAGACCTTCGAAAACGTACACCTATTACGACAACACATTAAACTGTTTCGAGCCCAACTACGTCTCGCCAGAGACAAAATCGAATTGCTTTGCCATATTTGTGGAAGACTACGGCAATCTATGCGCAATTTCACAGAACATCTACAAAAGCACGCGCAAGGCTTAACAGGGGAAGAATGTCATTCCTGCGACAAAATGTTTAGggacaaatcaggacgtaaacgaaaaatatacatttgtgATTATTGCGGAAAGACGTTTAAAGCTCGTCAAGGTTTTAAACTTCATTTAGTAAGGCACGTCGATAGTAAAAAGAGAGAGATTTGTAAAATATGCAACAAAAGATTTCTTTTTAAAGCCTCATTGAAAGCCCACGCGAAAACACATATAGTTGACAAACCATACACTTGCGATCATTGCCAGaagaaatttaaaactaaagcgAACGTACGTCGCCATGTTCTATCGCACATGGATATAAAACCTCACGTCTGCTCGGTTTGCGGGAAAAAGTATAGGTTTAGATGTAATCTATTAGTGCATGTTAGAATTCATACGGGGGCGAAACCATTTCACTGCGAGAAATGTGATAGGAAGTTTACGGATTGTACAAGATGTGATCAGCATATGAGGACCGCGCATGGGGTAGCGTTCTTCAGGTCGAAGATCACGGAGAGAGGTCGCGTGGAGATAAACCGGCGGTCTGGAAAGACCAAAAAACTGGCAATTGATAAAGACACGCAGGAATGGCTGAGGCAAATTACGGGAGACCAGAGAAATAAATGA
Protein Sequence
MSQTKNIRTYGGRKICFSECRFCAAKMDKKQLLDLTLEDNSLTYKKMMSVLKLNVDLSQHNKLPKAACIECHTKCLECFNFFLTVSKTQEILSVMYNNSETGIRDGWENLESKVLQTNKEVERDVNRNPMSINIDCVHTQDIPGSSKCVPASNLSSHSSEPWVCFPDIQNTADISESHVDNTALEMNLQLNKSFDDKSNFTNTISQTPVEPLQSVMDDENIEDLCEFKMMFNALSNDISMNIDAIQNIDYSDIKTNIQNDVDSSKTDMNALLKRNNYVTETEVSGTNSSQSNFNQNAAQNGTDIAQNTNYEECETKPVIQNTQSETITQSIHTNNTSQPSVNENVIDSELDSNRNMNQHDSNAVIHIDRTERNVKIEDIGEEINATPEQLSNANLCLLSAINDQDNIPNDEEPHRLTEQINQNNVHKTVNNNNDERQTVIQESNEEEILNPTTPWRFDHDDIAENNEPKTPILWKEKYVYNDTLKEDMEKVKQHFVELSADKEVSRVYPEDEYLVKKSWKTYPWCCYDCNAVFDSCEDLRGHRQYVHKRCSGFLCWDCKMEVSLFGTFVDHVRIHRHYLRLFCEYCNQHFPDKSSYLSHIPSHKTQHICTTCAEVFPSEAELRDHRRQYQVRSKLHQDIDQDIVPDVVEAKSNMTWKDYKWTCLDCSKVERDIQSLRAHVRAAHNKCFAAKCSDCGLDTKPSLRMLAKHVVLHRPYLRYYCHYCDQQLTDIGNLNAHINQHLLQENLCFKCGETFENVHLLRQHIKLFRAQLRLARDKIELLCHICGRLRQSMRNFTEHLQKHAQGLTGEECHSCDKMFRDKSGRKRKIYICDYCGKTFKARQGFKLHLVRHVDSKKREICKICNKRFLFKASLKAHAKTHIVDKPYTCDHCQKKFKTKANVRRHVLSHMDIKPHVCSVCGKKYRFRCNLLVHVRIHTGAKPFHCEKCDRKFTDCTRCDQHMRTAHGVAFFRSKITERGRVEINRRSGKTKKLAIDKDTQEWLRQITGDQRNK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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