Basic Information

Gene Symbol
-
Assembly
GCA_017607545.1
Location
JAANIC010001006.1:848120-942022[+]

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 13 0.14 7.3 6.3 1.4 1 23 346 368 346 368 0.91
2 13 0.022 1.1 8.9 1.7 1 23 373 397 373 397 0.87
3 13 0.00017 0.0086 15.5 0.4 1 23 435 458 435 458 0.97
4 13 1.5e-07 7.8e-06 25.1 2.4 1 23 463 485 463 485 0.98
5 13 0.0039 0.2 11.2 0.1 1 23 495 518 495 518 0.89
6 13 1e-06 5.2e-05 22.5 4.6 1 23 524 546 524 546 0.98
7 13 5.8e-05 0.003 17.0 3.4 1 23 552 574 552 574 0.96
8 13 0.0003 0.016 14.7 2.3 1 23 580 602 580 602 0.96
9 13 9.9e-09 5.1e-07 28.8 0.9 1 23 608 630 608 630 0.99
10 13 4.4e-06 0.00023 20.5 3.3 1 23 636 658 636 658 0.98
11 13 3.7 1.9e+02 1.9 6.2 2 23 665 686 664 686 0.95
12 13 2.6e-06 0.00014 21.2 1.8 1 23 692 714 692 714 0.98
13 13 2e-07 1e-05 24.8 1.5 1 23 720 742 720 742 0.98

Sequence Information

Coding Sequence
ATGCCACGGTTCACCGTGACCGTGCCACACTCAACACTGTGTCATTTGCGTCTCTTGTTAAAAAGCTCTCATGCTGCAGACTACCTTCTTGTGGAATCAGCATGTTcctttgattattttaaggCAGCGCAGATATCATTTCACTTTACTATTAGGAACATTATAGATATGCATCTATATGATTCAACAATTTGTCGTTTGTGCGCGGCGGACAATGGCAACGAGCATCTATTTATCAGTGAGACAGGCGAGTCGAATCTATGCTCGCTGGTGAATCGTTACCTGCCATTGAAGatttatgaTGATGGAAAATTACCATGTACAATTTGTCCGGGTTGTAATATCCAATTGGAAGCAACAGCGCAATTCTTTGAGTTATTGGTGGCTGGTCAATGTAAAATACGTGAACTGTGGAAACATCAAGTCGAGCAGCAGCGGAAAGCAGAACATTTGCGCAATAGAAAGGAAAATGTAGAATTTGAAGGATTGGAAATGGATACTGCAACTGATAATCAGGATGATCAATATGAGCAACAAATGGTTATTAaaaTTATGCCAGATGGATCTATGTACACAGCAGAACATGAAATGAGTTTGCAGATGGAAGGTTTGACTAAACCAAGAAGGAAACGCGGACGTCCACCTAAAATCCACACAGATATAGATTCAATGGCAGCAAAAGAAAATCCTGCAGAAGCTATGAGTCAAGGTGAAGAGGATAAgcaggaagaagaagaagaactGGATGGTGATGGTAGACGCAGAAGAAAGCGCAAAGTTCCCAAAAgATTTTTAGAAGCAGTGCAGGGAAAAGAATTGGAAAGGATATTCAAGGAAGAAGGTGTGATTGATGATGAAGATGATGATTCTGAAATGATTGACGATTCGAAAGATTTGTTAAAAACTAATCAGGATGGTCAAGAAGAAGTAATAGGTCATCTTGAAACAGAAGAGGGTACAGACTTGGGTGAGGTAGTAATTATGAACCGTGGACGAATACGATCGAAATCAAAATTGCGTCgtagaaaaaataagtttacatGTCAACTCTGCGGCAGGGGTTTCTTACAACGTAGCAGATACATAGTACATAAGAGTTTCCACAAGGGTATTAAACACGAGTGTATACAATGTAAGAAGCTATTTGACAGTAAAGATAATCTGGCATTGCACCAAAAGATGACTCAACATAATTCTTCCGAAGAAAATGTTGAGATACAGGAATCGCATGAGACACACAGCACAGAGCAGAACATTTCCATGATGAAATTAGACGTAACAGAAGATTCCAGAAATACGatttatatatgcaaaagATGTGACAAGCAATTTGGAGTTAAACAGGAGTACGAATTGCACATGAGAGTAGTGCACGAGCAGCAAGAATTTACCTGTAATATTTGCGATAAGAATTTCACAAATCAATCGGATTTAAAAACACATACGACAACTCACAACGGGaaaaataaatcggATAAGGATTATGCTTGCGATATCTGTGGTAAGGTCCTAAATCACCCAAGTTCCGTCTTATATCACAAGGAAGCTGAACACAACAATGGGCGCCGTTTCGTCTGCAATAAATGCAACAAAAGTTTTAAGCACAAACAGTTGCTTCAACGACATCAGCTGGTGCATTCGGATAATCGACCACACGCTTGTAAGTTTTGTAACTCAAGCTTCAAGACAAAAGCAAACTTAATTAATCATCAGTCTACTCACACGGGCCAAAAAAAGTATCTTTGTGAGATTTGCAAACAACAATTCGCGCACAAGACTAGTCTCACTTTGCATTACAGATGGCACAACGGCCAAAAACCATACACTTGTACGGTATGTCAGAAGAGTTTCTCGCAGAATGGCAATTTACAGGAACATATGCGCATTCACACTGGCGAAAAACCATACAGTTGTGATTTTTGTGGCCGAAAGTTTACCACGTCGTCGCAATTCAAACTGCATGTAAAACGGCATACCGGCGAACGGCCGTGGAAATGCGAGTTTTGCTCAAAGAGTTTCTTGCACAAAGATACATGGAAGTGTCACGTGCGCCGGCACAAGGGAGAACGTCCGTTCCAATGCAATCAATGCAACCGCCGATTTACAGAGCAATGGGCGCTCAAAAAACACCTTCGCTTGCACACTGGTGAAAAGCCTTATTCTTGCGACGTGTGCGGTAAAGCTTTTGCCGACTGTTCAAATTTGACAAAACACAAAAAGGTACACAGGGAGAATAAGACATTAACTATGAAAAGATCGGAAGGATCTTCGATCGGCGAGGTATGGCAAATTCTGCCGAACTCACAAGACGAACAGACATTCAATGATCAAATAATAGCCACCGATGAGACATCTAATGATGGAAtccaacaaattatttatgtatccTATCATACACAGGATCCTGAAGATCTTGATCAATCACGAACACTACATTTAGTTGACGCTAACACGATCAAAAACAAAGATGAGATAGTAGTAAGTGCAAATTCTTTGCCACGTTTAGAAACTAACGAAATTATTACTGATAAAATTACGAGTAATGCAACTAGCAACAATGAGGAACAGTCAGAAATTGAATTATCGGAATCGGATTTACAATTGCAGatcacGGATGAATACGGAAATCCAATTCCATTGTCCATTCAAGAGGCTCGACAGCTTCTCTCTCAAGGACATTTTATCAGCCAATTGAACGACAATCAGATTATTAGAGTTCATCCTGGAATGTTTGCGCAACAACTCCAAACCTTAAATATCCATGTCGATGAAGATACTATAGACGAAAGCGGAATCACGATGCGTCCGAACATGACTAAAAACGAGACGATATCGGCAATTCAAGCAGATGCAGAAGCAATCGTCCAGGCGCTTGAggaTGAGAATACCGATGCTACGACCGTTGCGACTATTAATCAACTTGGGAATATTGAGCAGGCTGGACTGTCGGATGGTGGACAAGCGATCGAATTCATGACTCAGGATGGACAGAAGGTTCGCGTCTTAACATCGTATCCTATCGATCCGATTCAGTTAGCTTCAGAATATCTAACTATTGTG
Protein Sequence
MPRFTVTVPHSTLCHLRLLLKSSHAADYLLVESACSFDYFKAAQISFHFTIRNIIDMHLYDSTICRLCAADNGNEHLFISETGESNLCSLVNRYLPLKIYDDGKLPCTICPGCNIQLEATAQFFELLVAGQCKIRELWKHQVEQQRKAEHLRNRKENVEFEGLEMDTATDNQDDQYEQQMVIKIMPDGSMYTAEHEMSLQMEGLTKPRRKRGRPPKIHTDIDSMAAKENPAEAMSQGEEDKQEEEEELDGDGRRRRKRKVPKRFLEAVQGKELERIFKEEGVIDDEDDDSEMIDDSKDLLKTNQDGQEEVIGHLETEEGTDLGEVVIMNRGRIRSKSKLRRRKNKFTCQLCGRGFLQRSRYIVHKSFHKGIKHECIQCKKLFDSKDNLALHQKMTQHNSSEENVEIQESHETHSTEQNISMMKLDVTEDSRNTIYICKRCDKQFGVKQEYELHMRVVHEQQEFTCNICDKNFTNQSDLKTHTTTHNGKNKSDKDYACDICGKVLNHPSSVLYHKEAEHNNGRRFVCNKCNKSFKHKQLLQRHQLVHSDNRPHACKFCNSSFKTKANLINHQSTHTGQKKYLCEICKQQFAHKTSLTLHYRWHNGQKPYTCTVCQKSFSQNGNLQEHMRIHTGEKPYSCDFCGRKFTTSSQFKLHVKRHTGERPWKCEFCSKSFLHKDTWKCHVRRHKGERPFQCNQCNRRFTEQWALKKHLRLHTGEKPYSCDVCGKAFADCSNLTKHKKVHRENKTLTMKRSEGSSIGEVWQILPNSQDEQTFNDQIIATDETSNDGIQQIIYVSYHTQDPEDLDQSRTLHLVDANTIKNKDEIVVSANSLPRLETNEIITDKITSNATSNNEEQSEIELSESDLQLQITDEYGNPIPLSIQEARQLLSQGHFISQLNDNQIIRVHPGMFAQQLQTLNIHVDEDTIDESGITMRPNMTKNETISAIQADAEAIVQALEDENTDATTVATINQLGNIEQAGLSDGGQAIEFMTQDGQKVRVLTSYPIDPIQLASEYLTIV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2