Basic Information

Gene Symbol
-
Assembly
GCA_005406025.1
Location
BGZK01000965.1:95524-126121[-]

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 0.012 2.6 10.4 1.6 2 23 135 156 134 156 0.95
2 16 0.00067 0.15 14.3 0.5 2 23 201 224 200 224 0.97
3 16 0.037 8.3 8.8 0.6 1 23 230 252 230 252 0.93
4 16 0.0024 0.53 12.6 5.2 1 23 258 280 258 280 0.98
5 16 0.014 3.2 10.1 0.0 2 21 291 310 290 311 0.89
6 16 0.006 1.4 11.3 0.2 1 23 408 430 408 430 0.98
7 16 1.4 3.1e+02 3.9 7.1 1 23 437 459 437 459 0.95
8 16 0.00082 0.19 14.0 1.8 1 23 514 537 514 537 0.95
9 16 0.00058 0.13 14.5 0.8 1 23 544 567 544 567 0.97
10 16 4.6e-05 0.01 18.0 0.6 3 23 592 613 591 613 0.94
11 16 1.4e-05 0.0032 19.6 0.1 1 23 627 649 627 649 0.98
12 16 0.0063 1.4 11.2 0.7 2 23 667 689 666 689 0.92
13 16 0.012 2.7 10.4 0.0 3 23 697 717 697 717 0.98
14 16 0.0014 0.31 13.3 0.3 1 23 723 745 723 745 0.96
15 16 2.3e-05 0.0052 18.9 0.2 1 23 751 773 751 773 0.98
16 16 1.2e-05 0.0027 19.8 1.2 1 23 779 802 779 802 0.96

Sequence Information

Coding Sequence
ATGGGTAATCGCCACCTACTCACCTTCACCGTCGTCGGCCCGATGCATATCGAGCTGGAGTCCAACGACAAGAACGTGGCGACGGACGGAGAGCCCTTGCACCGACATGGATGTCCAGTGTGCAAGAATCAGTTCGTCTCGGCAGAGATACTAGCCGCTCACAAGTGCAGCAAAAGGCGGAGGCGCAAACGTAAAGTCTGTTCGGAGGGTGTAGCGAATGCGCCTACCGAGAAGGATATCGTgaagCTGGCCAGTGATCCAATTCGCACAGCCGCGATCAGACGCGAACTTGCACTGAGATTTGTCAAAGTGTTAGTCGCGTCACGCCGCAATTCGCATGCGCCCGCGTtcgcaCGGCGAAAAGGCAGACGCGGCGAGCCCACGTCCGACCCGCAGGTGGTGACCTGCGACGAGTGCCAGCAGTCGTTCACGTCCAAAGTACGGCTCAAGTTTCATATGCAATTTCACGAACCCGGCAAGCGGGCGGCGGAGGGGCGCTACGTGTGCGGCGCGTGCGGCGCCGGTAGCGCCGCCAGCTTCGCCACGGAAACGGAGTTCTTCGATCACGTCCACTTCCAGCACGGCAAACGGAAGCGATGGCAGTGCCCCGTCGAGGGATGTTCCAAGACCTTCTTTCTGAGGGCCACACTGACCAAACACAGCCGCACGCACTCGGACACCCGGCGCTACGTGTGCACCAGCTGCGGCAAGCGGTTCCTCGACAAGCAGACGCTGGACGAGCACAGTGTCACTCACTTGCAGATTAAACCGTACCAATGCCACATCTGCTTGAAACATCTCACGCGCCGGTCTCGGCTGCGCATGCATCTCCGGGCCCATGAGGAAGAGCTGGCACCGAGATTGGTTCTAGTCTGCAGCGTCTGTGACCGTGCCTTTAAAGACCAAGTGGACGCGCAGGAGCACGGTATGACGTCCAAAGAGTGCATCGAGATCCACGCGGAAGAATTAAAAGAAGAGCAAGACGATGGCCCCAAACTGCAACTGTCCCCGACCAGCGGTGTGATGAAACTGCAACAGAAGAATAACGATGCAGGTTATACAAACGTAGTTCCTGTACGTAATCATACAGAATCGACGTTTTATCGAAAAACTCTAAAGCGCATGTACGAACCAGCGGACACGGCTCAAGCCGAGGAACTCTTGCGCACCGTCGCTGACGAAGCGAGACCTCTTATAAGAGTTGTCGAGATTGAAAAGGCGTTCAGATGTGAATATTGCGAGGATATATTCTACGTGGAGGACGCGCTGAACTCGCACCGCCGGATACACAAGGGCGTCAAGAACCCTTTCACGTGTCACATCTGCAAAGTCAGCTTCCCGACCTACTCCAGGTGTACCACGCATAAAACCACCCACGGCTTTTATAAGCGTTCTCTGGCCGAAGTTAAGAAACAGGAAGAGACGGGGACGAACGACGTCGGAGCGGCGCACGCGCCGGACGCGGGTGCCAGGCGCGAGAGTGGCGGCCCCTCCGCCGCCGGCATTGTCGGCTACGGCGGATTCCCAGTCGCGAAGCATTTCCTATGTGAGGACTGCGGCCGGTCGTACCTGCACTGGACCTATCTGCAGGTGCATCGGCGCATGAAGCACGCCAACGAGAATTACCTGTACAAGTGCACTCAGTGCGATATCACCTTTCCTAACAGTTGGAGCATGGCCtaccacaaaaagaaaatacacacAAAGATCCCACAAGAAAACAGCGTTGGTAGCATCGACGTGCTGAACAGAGACAGCGGTTCCAGGGCGCCCTGTCGGGATTGCGGCGAAATATTCACCAACAAGAGCGCCCTCTACAAGCACCGTAAAGACAAACATTGCGACCTGCCCTCCCGCTTGAGCAGTAAAGAAGGCATATTTTCGTGCGCAGACTGCGGCAAGCGTTACGCGAGCAAACCCGGGCTGGAGGCTCACCTGCGCTTGCatcgcgcgcccgccgccgcggaCGAGCCCGCGCCACCCGGCGGCGGGCAGTGCGCCTGCGCCAAGTGCGGCGACGTCTTCCGCTCCACCTCCGCCCTGCTTCGCCACGTCAAGGAATCACACAGCCACGAATTGCAGCTGTGGTGTGTATGGTGCGGCGAACGGTTTGCAGCACGCGCCGAGATGACtgcgcacgcgcgcacgcacgccaCGCATCAAGCTCACGCATGCGCCGTTTGCGGCAGAGGATTCCGCACCGCATCGACGAGGGACGAGCACTTGCGCATACACACCGGCGAACGGCCTTACCCCTGCGACGTCTGCGGCGTGTCTTTCAGAAGATCGACAGCGATGCGCAATCATCGGCTGATCCACACCGGCGAGCGCGCGTTCGCGTGCGCGCGTTGCGGGAAGCGCTTCCGCATTCGCTCCGACCTGCGCACGCACATGCGGCTCAAGCATCGTCCCGAGGAAATTATCGTTTTAGAGGTGCAAAATAGAAATCCGGACATCGATTGTGTGATGCAACTGCTGGCTCAAAACAATATCCCAGCGGAACGAGTGCTCGACATCTGTAAGAGTGCCCAAATTGAGGATCTAACACTGGAAAAAGTGCAGAGCTTGTTGCAACTTCGGCACGAAGACGAGGCTGTGAAGGCGTGGAGCCGTCAAGTTTTAGAAGTGTTGTCATCCGGCGCGGGGCGACAGGACTCcatCGATAGGTGCCGGTCTGCGCGTCGGGGCCGTAGCATCGCGAGAGCCGACAGGCAGATCAGAACTGATGTCGTCGAGACGAATCAAGTCCTGCAACAGGCAAGTTGCTACTGCTGTGCAAtGGAACCGCAATCGAGATCGGGTGCAAAATCGACATCGGGATTAGATCAAGACGAAATCGAGGACGAGGAGCGGAAACGGATCATGAGCGGAATCATGGCGTCCCTGTCGTGGCCCAGATGCTGGGGCCACGGCCGCAGTTTCGTATTTAAGCATCACGCCGACGGCAATAGCCCGATCGGAAGGGAGGCTCTTTCTTAA
Protein Sequence
MGNRHLLTFTVVGPMHIELESNDKNVATDGEPLHRHGCPVCKNQFVSAEILAAHKCSKRRRRKRKVCSEGVANAPTEKDIVKLASDPIRTAAIRRELALRFVKVLVASRRNSHAPAFARRKGRRGEPTSDPQVVTCDECQQSFTSKVRLKFHMQFHEPGKRAAEGRYVCGACGAGSAASFATETEFFDHVHFQHGKRKRWQCPVEGCSKTFFLRATLTKHSRTHSDTRRYVCTSCGKRFLDKQTLDEHSVTHLQIKPYQCHICLKHLTRRSRLRMHLRAHEEELAPRLVLVCSVCDRAFKDQVDAQEHGMTSKECIEIHAEELKEEQDDGPKLQLSPTSGVMKLQQKNNDAGYTNVVPVRNHTESTFYRKTLKRMYEPADTAQAEELLRTVADEARPLIRVVEIEKAFRCEYCEDIFYVEDALNSHRRIHKGVKNPFTCHICKVSFPTYSRCTTHKTTHGFYKRSLAEVKKQEETGTNDVGAAHAPDAGARRESGGPSAAGIVGYGGFPVAKHFLCEDCGRSYLHWTYLQVHRRMKHANENYLYKCTQCDITFPNSWSMAYHKKKIHTKIPQENSVGSIDVLNRDSGSRAPCRDCGEIFTNKSALYKHRKDKHCDLPSRLSSKEGIFSCADCGKRYASKPGLEAHLRLHRAPAAADEPAPPGGGQCACAKCGDVFRSTSALLRHVKESHSHELQLWCVWCGERFAARAEMTAHARTHATHQAHACAVCGRGFRTASTRDEHLRIHTGERPYPCDVCGVSFRRSTAMRNHRLIHTGERAFACARCGKRFRIRSDLRTHMRLKHRPEEIIVLEVQNRNPDIDCVMQLLAQNNIPAERVLDICKSAQIEDLTLEKVQSLLQLRHEDEAVKAWSRQVLEVLSSGAGRQDSIDRCRSARRGRSIARADRQIRTDVVETNQVLQQASCYCCAMEPQSRSGAKSTSGLDQDEIEDEERKRIMSGIMASLSWPRCWGHGRSFVFKHHADGNSPIGREALS*

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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