Basic Information

Gene Symbol
grau
Assembly
GCA_951804985.1
Location
OX638133.1:35528995-35532953[-]

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 7.8 1e+03 1.5 0.4 1 11 49 59 49 65 0.79
2 10 0.72 95 4.7 0.1 3 23 247 268 247 268 0.96
3 10 6.4e-06 0.00084 20.6 0.2 1 23 301 324 301 324 0.95
4 10 9.1e-05 0.012 17.0 1.1 1 20 332 351 332 354 0.93
5 10 0.15 20 6.9 0.5 3 23 364 387 363 387 0.95
6 10 0.014 1.8 10.1 0.5 2 23 393 414 393 414 0.97
7 10 0.00054 0.071 14.6 0.7 2 23 423 446 422 446 0.96
8 10 0.00012 0.016 16.7 3.0 1 23 453 476 453 476 0.95
9 10 5.6e-06 0.00073 20.8 0.7 1 23 481 503 481 503 0.97
10 10 0.00012 0.016 16.6 4.0 1 23 509 532 509 532 0.98

Sequence Information

Coding Sequence
atgatTTGTCTACTATGTCTAGAGAACACTCAGCACCAGGAGGCGTACAATATATTCGATGAAACTGGAGAAGGTTTCCAAATGGCGAGCATCCTGAGTACGCATTTCTGGTTTGAGACTAGTGagattgataaaatatcacCGTTTGTATGCCATGTGTGCTGggaaaaagtcagcgaatttaaTAACTTCTACGAGGACGTGAAGCAGGCTCATAGCTTTCTCACAAAGATCGACGAACAAAACGATGATTCCCATGTAACTACATCAGATGATCAATTGGAAGCTGCCATTAAGGAGGAACTCATGGACCAAATCCAGGGTGCCATTAATTATACTAATGAATTGGAGGAAGCGGAAGTGTTGTCAGAATGCAATCCGTTAGAAGAGGCAGAATCCAATTTAATGGCTGGTGACACGGAAATGTTTGATGATGATGTAGACATCAGGCAATCGGGGGAGACTATGACTGAATGCATGACGACAGACATGAAAAACACGACCCGTGCAGTTTCCAATCATTCTAGTTCCGTTGCTATTGAAATTATACACATTAAACGCAGAAAGCGttgtaaaaaactaataaaaaactcTGATGAATATAATGAAGACGCCAATGAAGACTTGGCAAAAGATAAATTGCCTTTAACGCCAGATTGCGAGTCTAAAAGACAGAAACGTCCAAAAATGATTACTAAACATGATGAGGACCTCATCAAAAAGCACATTTCCTTGGGCTGTGAATTGTGTCCTTTTGTGgccgtgacttttgaagaattaACGGAGCACTTTAGGCAGCTGCACGATAGCAAAAAACCGTATGTCATGTGCTGTGGCCGCAAATTGAACAAAAGATTTCTGGTTGTACAGCATGCCTACAAACATGAGGATCCATGTTTTTATAAATGTGAAGAGTGCAATAAAGTCTTTTCCGATGGTTCTGTGCTGCGATCGCACATGCTGGCCAACCATGCGCCAGAAGAAGAGCTCACATTTGAGTGCGATCAATGTCCAAAGAAATTCTCACGTCGCTATTTGTTGGAGTTGCATAAACCATCGCATATACCACCAGAAGAGCGATCATTTTGGTGTAAAATATGCACAGAGCCCAAAGTTTTCGCCAGCGATCATTTACTGCAAATACATACAAATATGCGCCATACAAAAGCACCGAACGTGTgccacgtctgtgccaaagagaTTCGCGACAATCAGGCATTTGAAAAACACGTTCGCCTACATTTCGAGGACAGTGGTCCACGCGTCAAGTGTCCACATCCCGATTGTGATCGTTGGCTAAAGGACGAGGACAACCTCAAACAGCATATGCGTCGACACAACGATGAGGGTAAATCGCATATATGCCAAGAGTGCGGCCGCGCGTGCAAAAATCGTCGCTCTCTAACGAGCCACATCAACTATGcgcataaaaatgaaatattcagTTGCGAGGAGTGCAATAAAACCTTTAAGAAGGCGATTACCTTACGAgagCACATGGCACAGCACACTGGCGAAACTCTCTACAAATGTCCATTCTGTACGCGCACCTTCAACTCTAACGCCAACATGCATGCGCACAAGAAGAAAATGCATCCACTCGAATGGGACAATTGGCGTAAAACGAAACGCGGCAGCTCGCAGCAGTTGGTGAGCCACATGAATGCGTCCCGAACTCTACCATAA
Protein Sequence
MICLLCLENTQHQEAYNIFDETGEGFQMASILSTHFWFETSEIDKISPFVCHVCWEKVSEFNNFYEDVKQAHSFLTKIDEQNDDSHVTTSDDQLEAAIKEELMDQIQGAINYTNELEEAEVLSECNPLEEAESNLMAGDTEMFDDDVDIRQSGETMTECMTTDMKNTTRAVSNHSSSVAIEIIHIKRRKRCKKLIKNSDEYNEDANEDLAKDKLPLTPDCESKRQKRPKMITKHDEDLIKKHISLGCELCPFVAVTFEELTEHFRQLHDSKKPYVMCCGRKLNKRFLVVQHAYKHEDPCFYKCEECNKVFSDGSVLRSHMLANHAPEEELTFECDQCPKKFSRRYLLELHKPSHIPPEERSFWCKICTEPKVFASDHLLQIHTNMRHTKAPNVCHVCAKEIRDNQAFEKHVRLHFEDSGPRVKCPHPDCDRWLKDEDNLKQHMRRHNDEGKSHICQECGRACKNRRSLTSHINYAHKNEIFSCEECNKTFKKAITLREHMAQHTGETLYKCPFCTRTFNSNANMHAHKKKMHPLEWDNWRKTKRGSSQQLVSHMNASRTLP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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