Basic Information

Gene Symbol
-
Assembly
GCA_013372445.1
Location
JABRWK010001070.1:5203-10949[+]

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 0.028 2.3 8.8 5.8 2 23 138 159 137 159 0.96
2 16 0.0008 0.068 13.6 1.7 2 23 166 187 166 187 0.97
3 16 0.0031 0.27 11.8 1.4 1 23 194 216 194 216 0.96
4 16 5.5e-06 0.00047 20.4 0.8 1 23 344 366 344 366 0.99
5 16 5.6e-07 4.8e-05 23.5 8.6 2 23 373 394 372 394 0.98
6 16 0.00065 0.055 13.9 3.3 2 23 412 434 412 434 0.94
7 16 0.0004 0.034 14.6 4.9 1 23 498 520 498 520 0.96
8 16 0.00023 0.019 15.3 1.7 1 23 526 549 526 549 0.95
9 16 4.8e-06 0.00041 20.6 1.6 1 23 554 576 554 576 0.98
10 16 1.8e-05 0.0015 18.8 4.5 1 23 585 607 585 607 0.98
11 16 3.7e-06 0.00032 21.0 1.0 1 23 614 636 614 636 0.93
12 16 1.3e-06 0.00011 22.4 1.6 3 23 648 668 646 668 0.96
13 16 4.2e-05 0.0036 17.6 4.5 1 23 674 696 674 696 0.99
14 16 2.4e-05 0.002 18.4 2.0 1 23 702 724 702 724 0.96
15 16 4e-07 3.4e-05 24.0 0.4 1 23 730 752 730 752 0.99
16 16 0.00025 0.021 15.2 0.1 1 22 758 779 758 782 0.91

Sequence Information

Coding Sequence
atgattccGGAAAATATTCAGTTGATGATCGATAAAATTTGTCGCTCATGTATGTGTGAAAGCGGTGATATGCAAAATGTGTTCGAAAAAACTATCGGTCCGGCAGAAGATGCTATGCTTCTTTGCGATGTCTTGATGGCCTGTGCCGCAGTTGAAATATCTTCTGGAGATGGTTTGCCTTATTTGCTATGCAATACCTGTGAATCAAAACTAAGCTCTGCTTACGAATTCAAGCAGCAGTGCGAAAAGTCGGAGATAGCCTTAAGAGAGATTACAAAtcaaaatgacaataaaagtAAGGAAGAGGATATCATCATTCAACCTGACGTTCATGAAGGACTTTTTGAAGAAGAGGATGAAGATGATGTTCCTTTatctaaaagaaaacgaaCTGCCTCTCCAAATGACTTAATTTGCagttattgttttaaacattgtTCTACTAGACGGGGCTTATTTCTACATCTCAGACAACATTCAGGAGATGAAATGAGATATTGCCCTTTATGTCCTTCCAAATATGCACGCACGAATCATTTGCTAAGACACATGAAGTCTCACGATAGACTAGGAAAAAAACATTCCTGTAAAATATGTGCagacaaattttctttgtcgGGGAACCTTTTTAGACATATGCAAGGTCACATTGAAGagattGATAAGAAATTACGAGaggaagaaaaagaattaattaaggtgaagaatgaaaaatgtgaTGAATCtgttaaaagtgaaaaagatAAAGATTCAGctaataatgatgatgatgacttGGCTAATGACCTAAGTGTGGATGGGACCTCTGAAGATagtgatgaaaaaaaagtaaacatcgAAAATCTTGACTCTTCAAAAGGTGATCTGGAAGAAGATTCAATGGACGTTCCATTGAGTCAGTTTCCCTTTAGCgatgaagatgatgatgacgatgatgatgatgacagTGTCACAAAGGAAGATGATTACTTTGATGTAAAAGAGAAAAGATCAAGAGGAAGACCACCATCAAAGAAAGATCACACCTTATATGAGTGTAAGGAATGTAACAAAATCTTGACTACCTACAGTGGCTTAAAAGTGCATCTTAGGAGACATACAGGAGCTGATTTATCAAAATGCAAACATTGTGACAAATCGTTTACAAAGAAGAGCCACTTAAACAGACATTTACGGTCTCACGGCATCATTAATAATGCAAAGAATAAAGTCAAAGGAGATAAAAAGACTAGAGAGTGTGAGTTTTGCGATcgcaaatttaaatataagaaaagttTCCTACATCACATGCAAGCTGAACATGGATTGTCCGATGTGGAGAGTGACATTGGTGAAAAAACTGAAGAAGTTGAATCATTAGCTaacaataataagaataatggGGAAAATGGAGaaaattttcaagccAATGGTGAACTAGATGATATGACCGATCAAGGTGATGATTTAGAGCAAAGTGAAACGGATGGACAGAAACGAAAAGTCAAAATTCATTCTTGCCATGTGTGCCAAGCACAATTTGCCCGCGCCAATCATTTAACGCGTCACATGACTTTGCATCGAGCAGTGTTAACTCACAAATGCGATAGATGTGATCagGCATTCTACACTGAGGAGATGTTAAAGAAACACATTGAGCAACAGCACATTAATAAACCTTACGTTTGCACTACCTGTAATAAACCATTCAGTAGAGGAGAACATCTCATTAGGCATTTAAAACTTCATCAAGAAGTTACTGAAGAGGGTCAACACAAGTGTTCAATATGTGAATCAGTTTTTACCAgATCGGATCACTTGGCACGACATACAAAGACTCATTTAATGCAAGACAAGAGACATGTTTGCATCGAATGTGGCAAAGCATTTAATAGATTAGATAACTTAAAGACTCATCAGCGAATTCATACTGGTATGAAAGATAATTCGAAATCGCATTTATGTGTTTATTGTGGAAAAGAGTTCAATAATTCAAGTAACATGattgttCACATGCGAAGACATACTGGTGAACGACCTTATAAATGTAACGAGTGTGGTAAAGGATTCCCTCGTTCTCATGACCTGAAATGTCACGAGAGAACACATTCCGGAGAGAAACCCTATTTGTGTAAATTATGTGGAAAATCTTTTAACAAAAGCAATAAATTGcTGCGACACAGCAGAGTGCACACCGGAGAACGCCCGTAtgtttgtaatatttgttCCAGGGCTTTTACACAATCAAACGACCTTGCATTACATATGCGAAGGCATACTGGGGCTCGACCTTACGCTTGTGGTGTGTGTCCAGCACGATTTATTCAATCGGGCCAATTAAAGAACCACAGAAGGCAAACTGGGCATTGGATGGAGACTCAACCTGATTTGAAAGGAGGACATAGGGTAGAGCCAGTAACGTCAGCGGTAGAACCCGtacctataaaatttaaaacctttGGCAAAAGTCGAATGGTAAAATTAGAAGATCAACAAGCTGAAACCAGCGACAGTCGTCACCTtcaacaacagcagcagcagcagcaacaacagcaacagTTACAATTGGCTCAAGCTGTTCAGTCACCTCAATTGGCGCAGCTTCAACAACCCCAACGAATTCTGATGGGTATAATGGGGAATATAAAGTTGCAGGGCGATGGTCAACCTTTAATAATTGATAGTAATAAAATCGTGGAACTTCATGGAGGTCAATTGGGTCTGGTAACTTTGCCAACGGTCATTCAGAGCGCTGACGGTGaagaaatcaaattgaaaacgGAAATCGGTAGTTTTAATATTGCCCAAGTGGAGGAGGACTTGGAAAAGAACGAGGTGGTCAGTACCTCAAGTGCCTTCCATGAAGGTGAAATGGTCGCGGCGTTTTCAACAGTACAAACCTCAACAACGTATACCTCAGCCGAGAATTTTACCTTTCAAACTTTCAATTAG
Protein Sequence
MIPENIQLMIDKICRSCMCESGDMQNVFEKTIGPAEDAMLLCDVLMACAAVEISSGDGLPYLLCNTCESKLSSAYEFKQQCEKSEIALREITNQNDNKSKEEDIIIQPDVHEGLFEEEDEDDVPLSKRKRTASPNDLICSYCFKHCSTRRGLFLHLRQHSGDEMRYCPLCPSKYARTNHLLRHMKSHDRLGKKHSCKICADKFSLSGNLFRHMQGHIEEIDKKLREEEKELIKVKNEKCDESVKSEKDKDSANNDDDDLANDLSVDGTSEDSDEKKVNIENLDSSKGDLEEDSMDVPLSQFPFSDEDDDDDDDDDSVTKEDDYFDVKEKRSRGRPPSKKDHTLYECKECNKILTTYSGLKVHLRRHTGADLSKCKHCDKSFTKKSHLNRHLRSHGIINNAKNKVKGDKKTRECEFCDRKFKYKKSFLHHMQAEHGLSDVESDIGEKTEEVESLANNNKNNGENGENFQANGELDDMTDQGDDLEQSETDGQKRKVKIHSCHVCQAQFARANHLTRHMTLHRAVLTHKCDRCDQAFYTEEMLKKHIEQQHINKPYVCTTCNKPFSRGEHLIRHLKLHQEVTEEGQHKCSICESVFTRSDHLARHTKTHLMQDKRHVCIECGKAFNRLDNLKTHQRIHTGMKDNSKSHLCVYCGKEFNNSSNMIVHMRRHTGERPYKCNECGKGFPRSHDLKCHERTHSGEKPYLCKLCGKSFNKSNKLLRHSRVHTGERPYVCNICSRAFTQSNDLALHMRRHTGARPYACGVCPARFIQSGQLKNHRRQTGHWMETQPDLKGGHRVEPVTSAVEPVPIKFKTFGKSRMVKLEDQQAETSDSRHLQQQQQQQQQQQQLQLAQAVQSPQLAQLQQPQRILMGIMGNIKLQGDGQPLIIDSNKIVELHGGQLGLVTLPTVIQSADGEEIKLKTEIGSFNIAQVEEDLEKNEVVSTSSAFHEGEMVAAFSTVQTSTTYTSAENFTFQTFN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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