Basic Information

Gene Symbol
grau
Assembly
GCA_949716465.1
Location
OX454332.1:81550804-81552809[+]

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 0.4 35 5.3 0.3 2 19 224 241 223 244 0.95
2 10 1.7 1.5e+02 3.3 0.4 6 23 255 272 255 272 0.97
3 10 3.8e-05 0.0033 17.9 6.0 1 23 278 301 278 301 0.97
4 10 9.8e-06 0.00085 19.8 1.8 1 23 309 331 309 331 0.98
5 10 2.6e-05 0.0023 18.4 0.6 1 23 339 362 339 362 0.96
6 10 0.021 1.8 9.3 0.8 2 23 369 390 368 390 0.95
7 10 0.0059 0.52 11.0 2.8 2 23 399 420 398 420 0.97
8 10 1.9e-05 0.0016 18.9 0.6 1 23 427 450 427 450 0.96
9 10 1.4e-06 0.00012 22.5 0.4 1 23 456 478 456 478 0.98
10 10 1e-05 0.00089 19.7 4.3 1 23 484 507 484 507 0.97

Sequence Information

Coding Sequence
ATGATTTGTAGACTTTGTCTAAAGGACATCCTCGAAGTAATAAACATTTTCGATGAAATAGGATCGGAGCTCAATGTGgccaacattttaaaaaagtacttttgGTTCGAGCCTAAAAGCGATGATCCCATATCGACTGCGATATGCAACACCTGTTGGGTGAGGGTGATGGACTTTCACGAGTATTACCTGTCGGTGGAGGAAGCCCATCGTCTGTTAGCTGAACGGTTCTTCGTTAAAGTTCCACCTTCGATTGATAATGATGACAAAGAGGATGCAGGTTCCGAATTCAAGGATGATAATGAGCAACAGGAGTTAAATTGGGATATACCTGAAATTGAGTATACTTATCAGCTCTCGGAGGAAGATGAAAAGCCTGAAGAAAAGAATGAGGAGCTCGAACTTAGTGTACCTCCTGCAGAAAGTGAAAACGATACTAATGAAGACATCAAACCAGCACCCGACGAATTAGTTAAGTGTGAAAGCGGTCGTTCCCTTCGATCGAGAACCATAAGCACAGCAGCCATATCACCTGACAATGAAACAAAGCAGATTAACCGAAGAAAATCCGAAAGAAATTCTGAAAAATCCACTCcagacaaaaaaatatcaaaatacaaTTTGCGCGCAAAGGAATACGACCTACTAATAGCGAAGCACATGAAGCTAACATGCGAAATTTGTCATCTCGAATTGGTTGACTTTACATCATTGCGTCAGCATTTTTGGAAAGATCACGGCCAGAAAGGCTACGTATCGTGTTGCAATAAGAAATTATTCAAACGCGTGCTTCTAGTCGATCATATCAATAAACATTTAGATCCAGAATATTTCAAATGCCATCACTGCGGTAAATTGTTTGCCGATAAACAGTgcttgaaaaatcatattcttaTAATGCATCAATCCAATGCAGAGAAGCCATTTGAGTGTGAACATTGTTCGAAACGTTTCATCAAACAATACCTCTTGGAGCAGCATCAGGCAATACACGTTCCTATGGAGGAACGGAAATTTCCGTGTGATATTTGCACAAAAGTCTTCCCCAGTGAAAACACGCTAAATACCCATCGAAAGAATACCCATACTCATGAATACGGCAAAATGTGTCATATTTGTGCGAAAGTTATACGCGGCAAAGCCATGTTCGAAAAGCACCAACTGGAACATGCTGGCGTCAAACAACCCGAAGTACAATGCGAAAAATGCGGATCATGGTTGAAAAACAAGCACAGCCTTCAAAAGCATCTACGTCGGCACAATGAAGAGGGTAAGCTACATACTTGTAATATATGTGGAAAGGTAGCACCCAACCAAAGTGCCTTGCGAAGCCATTTCCGTTACGTACACGCATCACAGCGTACGTACGCATGCAGTGTTTGTGATAAGGCTTTTAAAAAGGCCCTCAACTTAAAGGAACACATGACAACGCACACCGGTGAAGTTCTCTACTCATGTCCGCATTGtccaaaaacatttaattcgAATGCGAATATGCATTCGCACAGGAAGAAAGTTCATCCAATGGAATGGGAggcaaatagaaaacaccgAAAAGGCAAAGCTGTCGCTGGATCTTCCTCCCAACAGCAGATGCTTGATATCGATGACAGCGGCAATGATATGCCAGATGATGATAACTAG
Protein Sequence
MICRLCLKDILEVINIFDEIGSELNVANILKKYFWFEPKSDDPISTAICNTCWVRVMDFHEYYLSVEEAHRLLAERFFVKVPPSIDNDDKEDAGSEFKDDNEQQELNWDIPEIEYTYQLSEEDEKPEEKNEELELSVPPAESENDTNEDIKPAPDELVKCESGRSLRSRTISTAAISPDNETKQINRRKSERNSEKSTPDKKISKYNLRAKEYDLLIAKHMKLTCEICHLELVDFTSLRQHFWKDHGQKGYVSCCNKKLFKRVLLVDHINKHLDPEYFKCHHCGKLFADKQCLKNHILIMHQSNAEKPFECEHCSKRFIKQYLLEQHQAIHVPMEERKFPCDICTKVFPSENTLNTHRKNTHTHEYGKMCHICAKVIRGKAMFEKHQLEHAGVKQPEVQCEKCGSWLKNKHSLQKHLRRHNEEGKLHTCNICGKVAPNQSALRSHFRYVHASQRTYACSVCDKAFKKALNLKEHMTTHTGEVLYSCPHCPKTFNSNANMHSHRKKVHPMEWEANRKHRKGKAVAGSSSQQQMLDIDDSGNDMPDDDN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
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80% Identity
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