Basic Information

Gene Symbol
-
Assembly
GCA_963969555.1
Location
OZ018382.1:16789392-16807925[-]

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 11 0.00017 0.032 16.8 1.6 1 20 22 41 22 43 0.95
2 11 0.00021 0.04 16.5 2.5 1 23 51 74 51 74 0.93
3 11 0.00026 0.048 16.2 0.4 1 22 89 110 89 110 0.93
4 11 0.0088 1.6 11.4 2.9 3 21 248 266 246 267 0.93
5 11 0.0013 0.23 14.1 0.3 2 22 284 304 283 304 0.95
6 11 0.0002 0.038 16.6 0.5 2 22 320 340 319 340 0.94
7 11 0.0063 1.2 11.9 2.5 2 20 356 374 355 376 0.93
8 11 0.00056 0.1 15.2 0.2 2 21 393 412 392 413 0.93
9 11 0.15 27 7.6 3.4 2 21 431 450 430 451 0.94
10 11 8.9e-05 0.016 17.7 0.4 2 21 468 487 467 488 0.93
11 11 0.049 9 9.1 0.1 1 21 503 523 503 524 0.91

Sequence Information

Coding Sequence
ATGGACATTTTTGTCATGGTTCTGTTGTCCTTGCAAGTAGGAAACAAGCCTACAGaTAAAGAATTTCCATGTTTCAAGTGTCCAAGAGTTTACAGGCGTAGAAGAAATCTACTGCGGCATATTCATTTTGAGTGTggcaaagaaatatattttacttgTGATTTTTGTGGCAGAACATTTTCCCATAGGCGAAATGTAGAATTACATTTGACAGAGACACATTGTAATATGTTTTCTCCAGAAGAAATGCAGCGTCCAAGTCGATTTTTTTGCGTCGcttgtggaaaaagttataCCATAAAGAATAACCTAAGAAGGCATCAAAGAGTGGAATGCGgaaaagaaaaagaaaatgaaaaagatAAGCTGTCTGGAACTGTAAGTCAAACTAATATCGAAAATGGTACCGTTACCActgaaaacaacaaaaaagataACGGTTCTTCTAAACAAGgtcaaaaaaagcaaattacTAGTAAATTACCTGAAAATCAAACTGAGGGATCGCAGAAAAATAGCGAAGCTGAGAACCAATCAGATGAAAATATTGGCGACGTCATCCTTGAGATAAGTCAATCTGATGACGAAGGAAGTCCAATTTTAGACCTAACAGAAATCGAAGATGCTGAGCTGATAGACGAGGAAGACATGCTTGAAATAGCACAGATTGAGAACTATATCGCTGAAAATGAATTAGCTAGAGAAGGCCAAAGTGAAGGGCAGTTCGAGTCCGACATATTTTGTACTATTTGTAACACCATGTTTAGACATATGTCTTCTTTGAGATATCACAAGAAGCACAGAGTTTGTCTGAAGCCTAAAAAAGAGGAGATGGAACCCAAGGTGCTACAATGCCAGAAATGTGAGAAAGTGTTTGCCACTGGCTCTGGTTATAAATACCACATTAGAAGAAGCGTCTGTAATCAGGAAGAGGAAAAAGaagaACCAAAGCCTTTGAGATGCGAGAAATGTGAAAAAATTTTTGCAACGAATTCTGGATTTAACTATCATATGAAAAGAAAAGTTTGCGAACAAGTTGAAGAGGAAAAAGaggAAGAAATAATTCAATGTGAAAGATGTCAAACAACATTTAGGCATAAGACCTCCTTGCAGTACCACTGGTCTCacaatgtttgtttaaaacctaaaaaagAGGAGATTGAGCCTAAACCACTACAATGTGAACAgtgtgaaaaaatattttctactaATACAGCATTGAATTACcatgtaaaaaataatgtttgtgCACCAAAGGAGCCCAAAGAACCTAAAGTGGAAGAAGAAAAAGTATGCCAATTCTGCAATGCCAATTTTAAACATTACACGTCACTGCGTTACCATTTGAAGCACAAAGTTTGCCTAAAGCCTAAAAAAGAGGAAACCGAGCCTAAAGTGCTTCAGTGTGAGAAgtgtgaaaaaatatttaccagcAATTCCTCCTTGGAATATCATGTAAAAAGAAGGGTTTGTGAGCAACAAAAATCCGTAATACCAGGACCACCGTTTATTTGCGATATATGCAACACTTCTTTTGAGTTAAGGCAGTCCTGGTATGCCCACGTTAAAAGACAGGTTTGCAAAAAGTACCCAGAAAGGTACATGCAAGAGAGGGACTTTGAAACAAGTGTAAAAATTGAAATGGAATAG
Protein Sequence
MDIFVMVLLSLQVGNKPTDKEFPCFKCPRVYRRRRNLLRHIHFECGKEIYFTCDFCGRTFSHRRNVELHLTETHCNMFSPEEMQRPSRFFCVACGKSYTIKNNLRRHQRVECGKEKENEKDKLSGTVSQTNIENGTVTTENNKKDNGSSKQGQKKQITSKLPENQTEGSQKNSEAENQSDENIGDVILEISQSDDEGSPILDLTEIEDAELIDEEDMLEIAQIENYIAENELAREGQSEGQFESDIFCTICNTMFRHMSSLRYHKKHRVCLKPKKEEMEPKVLQCQKCEKVFATGSGYKYHIRRSVCNQEEEKEEPKPLRCEKCEKIFATNSGFNYHMKRKVCEQVEEEKEEEIIQCERCQTTFRHKTSLQYHWSHNVCLKPKKEEIEPKPLQCEQCEKIFSTNTALNYHVKNNVCAPKEPKEPKVEEEKVCQFCNANFKHYTSLRYHLKHKVCLKPKKEETEPKVLQCEKCEKIFTSNSSLEYHVKRRVCEQQKSVIPGPPFICDICNTSFELRQSWYAHVKRQVCKKYPERYMQERDFETSVKIEME

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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