Basic Information

Gene Symbol
grau
Assembly
GCA_949752695.1
Location
OX456984.1:34309759-34317818[+]

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 10 9.6 2.5e+03 1.2 0.4 3 19 226 242 224 243 0.91
2 10 2 5.2e+02 3.3 0.4 6 23 256 273 256 273 0.97
3 10 1.2e-05 0.0032 19.7 4.4 1 23 279 302 279 302 0.97
4 10 0.00013 0.034 16.4 0.8 1 23 310 332 310 332 0.97
5 10 0.00014 0.036 16.4 0.5 1 23 340 363 340 363 0.96
6 10 0.04 10 8.7 0.5 3 23 371 391 370 391 0.96
7 10 0.007 1.8 11.0 2.8 2 23 400 421 399 421 0.97
8 10 4.5e-06 0.0012 21.1 0.6 1 23 428 451 428 451 0.97
9 10 3e-06 0.00078 21.6 0.9 3 23 459 479 457 479 0.98
10 10 1e-05 0.0027 19.9 4.1 1 23 485 508 485 508 0.97

Sequence Information

Coding Sequence
atgatcTGTAGACTTTGTTTAAATGACATAATCGAAGTCATTAATATATTTGATGAAATCGGAACCGAACTCAATGTCGCCGGTGTTCTCAAAAAGTACTTTTGGTTCGAGCCTAAAATTGATGATCCTATATCAACTGCAGTATGCAACGATTGTTGGTTAAAAGTAATCAACTTCCATGATTACTATCTAACAGTAGAAGAAGCACACCGCCTATtaaatgaaagattttttgtcaAGGCCACATCTCCTTTAAATAACGATGGTGAATCTTCTTCAGaattgaaagaagaagaagaggaggaTAGTCACAATTGTGTAGTGTGGGAAGATGTTCAAGACGATTCTTTTTATCCACTCTTAATTGAAGaagaTAACTTGGACCCTTGCGATGATGAATTCGTCAATAGTGAGACCATAGACGACACAAAAGATGAAATAAAAGATGTTGAAATCGAGCAAGAAGATTTACAAGAAAACACTGATCGTCGATTATCTCTACGAACTAGATCCGTTGTCAGCCACCAAAACTCGTTTGACAGTGAATCTGAGGAGAAACCCAAAAGAAAACAACACAAAACGTCTCCACCTGAAAAAGCTTTAGACAAAGAATCAAAGTATAACATACGTGCCAAGGAATACGACCAACTGATAGCAAAACACATGAAGTTAGCATGTGAATTGTGTCATCTGGAACTGCAAGACTTTACTTCTCTGCGTCAGCATTTTTGGAACGTTCATGAACAGAAGGGTTATGTCATTTGTTGCAACAAGAAACTGTTTAAACGCGTGCTCCTTGTGGATCACATAAACAAGCATTTAGATCCAGAATATTTCAAATGTCACAGTTGCAACAAAGTATTCGCCGACAAACAGTGTTTGAAGAATCACATGCTCATCATACACCAAGCAGATGAAGAGAAACCATTTCAGTGTGAATTTTGTGCAAAGCGTTTTATTAAACAATATCTACTGGAACAACATCAAGTGATACATGTTCCCTTAGAAGAACGGAAGTTTCCTTGTGATTTTTGTCCGAAAGTttttcccAGCGAAAACACACTGAGTACCCATAGGAAAAACTCTCACACTCATGAAAACGGCAGAATGTGTCACATATGTGCGAAAGTCATTCGAGGTAGAGCCATGTTCGAAAAACATCAACTAGAACACAACGGAGTCAAACAACCTGAAGTTCAATGCGAAAAGTGCGGATCTTggttaaaaaacaaacacagcCTGCAAAAGCATCTTCGTCGTCATAACGAAGAAGGCAAACAACACAAATGTAATACTTGCGGAAAAGTTGCTCCTAATCAAAGTGCTCTACGAAGTCATATTCGTTATGTACACGCTTCAGACCGAACCTTTGGATGCAGTATCTGTGACAAGTCTTTCAAAAAAGCTCTCAATTTAAAGgaaCACATGACAACGCATACAGGAGAGGTTTTGTATTCATGTCCACATTGTCCAAAAACATTCAACTCAAATGCAAATATGCATTCTCATAGAAAGAAAGCTCATCCCAGGGAATGGGAGGCAAACAGAAAGCACCGAAAGGGTAAAATTGTCAGTGGTTCAAGTTCATCAACAAAGCAAACAGTTAAAGAAATCCTGCCAGAGGATGACAACCAAGAGAGCTGA
Protein Sequence
MICRLCLNDIIEVINIFDEIGTELNVAGVLKKYFWFEPKIDDPISTAVCNDCWLKVINFHDYYLTVEEAHRLLNERFFVKATSPLNNDGESSSELKEEEEEDSHNCVVWEDVQDDSFYPLLIEEDNLDPCDDEFVNSETIDDTKDEIKDVEIEQEDLQENTDRRLSLRTRSVVSHQNSFDSESEEKPKRKQHKTSPPEKALDKESKYNIRAKEYDQLIAKHMKLACELCHLELQDFTSLRQHFWNVHEQKGYVICCNKKLFKRVLLVDHINKHLDPEYFKCHSCNKVFADKQCLKNHMLIIHQADEEKPFQCEFCAKRFIKQYLLEQHQVIHVPLEERKFPCDFCPKVFPSENTLSTHRKNSHTHENGRMCHICAKVIRGRAMFEKHQLEHNGVKQPEVQCEKCGSWLKNKHSLQKHLRRHNEEGKQHKCNTCGKVAPNQSALRSHIRYVHASDRTFGCSICDKSFKKALNLKEHMTTHTGEVLYSCPHCPKTFNSNANMHSHRKKAHPREWEANRKHRKGKIVSGSSSSTKQTVKEILPEDDNQES

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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