Basic Information

Gene Symbol
-
Assembly
GCA_949987625.1
Location
OX465094.1:76756713-76758425[-]

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 9 0.095 18 7.3 0.4 2 23 239 261 238 261 0.91
2 9 0.15 29 6.6 0.5 1 23 273 296 273 296 0.95
3 9 0.028 5.2 9.0 3.5 1 23 310 333 310 333 0.94
4 9 0.0001 0.019 16.7 5.8 1 23 339 361 339 362 0.95
5 9 0.092 17 7.4 0.3 3 23 369 390 367 390 0.94
6 9 0.00022 0.041 15.6 1.4 1 23 395 418 395 418 0.97
7 9 2.2e-07 4.2e-05 25.0 0.4 2 23 425 446 424 446 0.96
8 9 0.00013 0.025 16.3 0.6 1 23 452 474 452 474 0.94
9 9 2.4e-05 0.0046 18.6 1.0 1 23 480 502 480 502 0.98

Sequence Information

Coding Sequence
ATGCGCAAGTGGCAGATTCTTGAATTCGATGGCAAACCCTACTACGCCTTTGTGCCGGAGGATGTTACGCCTATCAAAGAAGAGACGATACCTGAGTTGCCCGATGACGTCGCTTTCGTCGTTGATGAACAGCTCAACGATGAAATCGAGATGAAGGAGGAAGACGGAGCTAATCAATCCGAGGAAGAACAGGCGCTGAAAGAAGAGAGAAGTGCCGAGAtcgaagaggaagaggaagaagacaATGCCTCAGTTGGTGAACAATCGGTATCCGAGGGCTATATTCAGATGATCGAGGATGACTCGCAATCGTCTGAACTCAAACCTGTTATTATAAACGGTAAAATACAAACTCAGATCGAGGAGGAGCAAGAAATCAAACCTACTCTCGAGGTGAAGAATCCTATAGGTGACTTGTATCAGGTGAAGGTAGAAGCCGGTGTAGTCATGTTGGAAATGCTCAACGTTGAAGCTTTAAAAGCGAGTGAAATGCTTACGGAAACTATAGCTGTTCCCACGGGATCTACAACCTCGAGCAATCACAAAGATGAAGAGTcgaatgattttgaaaatttcgaagACATCGTAGAAGATATCGAAGAGGAAGACGATGAAGAAAATCCAGAAGAGCTCGAGGCCGAGGTAGCGGTCGATGTTGCCGAGGTCGATGAAATCGAAATCGATAAGCAAGACGTCGGTGGTGCCGTTGCTCTCAAATGCAAAGCTTGCTCGGAAACCTTCGAGACGACGTTGGCCTTCAGAAAACACGTCGCCTGGACGCACAAGAAGAAAGTTTGCATCCAGGAGAACGGCGCCTACATTTGTTCCGTATGCGATTATCGAACTTTAAAGAAGGCTCTGTTCGCCGCCCACCTGCAACGCAAACACGAAACCTGGTCGAGAAAACGTCAAAGTTCGACTGCTCTGTTCCCTTGCGCAGCTTGTGGCTTCGTCTGCCGTTCCAAGCACTCGCTGCAGTCGCATTTTATTCGGAAGCACACCGATCGTTACGAGCATCAGTGTAAGTTCTGTCCAAAGAAGTTCAAGGTAAAGGGCGACCTAACCAATCACGTTCGATTTCATCACAAAGAAAAGCCAATCAACTGCGACGTTTGCGGCAAGCTTTGCCTCAACAGTGGCTCCCTCTACGTTCATCAAAAGTGGGCGCATTATAAGCCACAATACGAGTGTCATATATGCAAAAGGCGCATGGTCACCCAAGAGAACCTCGACCAACACATGCTCATGCAGCACGAGAAACGGGAGAAGATCGTGTGCGCCGAGTGCGGCAAAACCTTCACGAAGAAAGACTCGTTCAAGCGACACATGGCCGTGCACACAGGCAGTAAGCCCTACAACTGCATCATCTGTAACAAACTTTTCGCTAGGAGATCTCAATTACGCCAGCATCTCCTCATACACACGGGCAAGCGACCATTCGTTTGCGACATCTGCGGCAAAGCTTTTACTCAAAAACCCGGCCTCATTTGCCACAGAAAAACCCATCCTGGCACTCATCCGCCTTTGCCGGTTATGCCCATCGGCGATATTGTCAAGGAATTTACGGAGGGTTATCTAGCGGGCAATAAGGTCGGTAATAAGAACGCCGAGGGTGCCGAGGAAGAGGATCAGGACGATCCGGACGAGGAGGAAGAAGAATATGAATTAGAACAGGAAGAGATCGCCGAAGAGGAGGATGAAAATGAAAAGTGA
Protein Sequence
MRKWQILEFDGKPYYAFVPEDVTPIKEETIPELPDDVAFVVDEQLNDEIEMKEEDGANQSEEEQALKEERSAEIEEEEEEDNASVGEQSVSEGYIQMIEDDSQSSELKPVIINGKIQTQIEEEQEIKPTLEVKNPIGDLYQVKVEAGVVMLEMLNVEALKASEMLTETIAVPTGSTTSSNHKDEESNDFENFEDIVEDIEEEDDEENPEELEAEVAVDVAEVDEIEIDKQDVGGAVALKCKACSETFETTLAFRKHVAWTHKKKVCIQENGAYICSVCDYRTLKKALFAAHLQRKHETWSRKRQSSTALFPCAACGFVCRSKHSLQSHFIRKHTDRYEHQCKFCPKKFKVKGDLTNHVRFHHKEKPINCDVCGKLCLNSGSLYVHQKWAHYKPQYECHICKRRMVTQENLDQHMLMQHEKREKIVCAECGKTFTKKDSFKRHMAVHTGSKPYNCIICNKLFARRSQLRQHLLIHTGKRPFVCDICGKAFTQKPGLICHRKTHPGTHPPLPVMPIGDIVKEFTEGYLAGNKVGNKNAEGAEEEDQDDPDEEEEEYELEQEEIAEEEDENEK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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