Basic Information

Gene Symbol
-
Assembly
GCA_030295005.1
Location
AP025361.1:2389416-2392480[-]

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 12 0.021 1.5 9.8 1.0 1 17 13 29 13 30 0.91
2 12 0.98 71 4.6 0.6 1 23 124 147 124 147 0.92
3 12 0.012 0.87 10.6 0.1 2 23 173 195 172 195 0.97
4 12 4.5 3.3e+02 2.5 0.1 3 23 218 238 217 238 0.79
5 12 1.1 80 4.4 0.4 1 16 242 257 242 259 0.89
6 12 5.8e-06 0.00042 21.0 1.5 1 23 304 327 304 327 0.94
7 12 0.16 11 7.1 0.2 2 23 350 372 349 372 0.94
8 12 0.14 9.8 7.3 0.2 2 23 395 416 394 416 0.97
9 12 8.3e-05 0.006 17.4 1.0 1 23 420 442 420 442 0.96
10 12 0.01 0.74 10.8 1.4 1 23 447 470 447 470 0.95
11 12 0.065 4.7 8.3 0.6 2 23 478 500 477 500 0.85
12 12 5.6e-05 0.004 17.9 1.3 3 23 509 530 507 530 0.95

Sequence Information

Coding Sequence
ATGCAACATATGAGAATTCATAACGACGATAGAAGACACGCGTGCTCATATTGCGGCCAAGCTTTTGTTCAGAAGTGTAGCTTGAAAGAAAAATCAAACGTGTTAACGCGAAGCAAAGAACGAAGAGATTCTCAACCAGTTATATGTGAAgaagcgacatcgaaactgacGCTTGACAGAAAACTGAACTTTTGCTCTTTCATCACAATACGACCGGTCGGTAATAAGGCCTTACCATCAGTAAGAGAAAGGCAACAAAGGATTTCTTATCAGAAGAGACTGACTGAGTTAGACTGGCATTTTGATAACATAAGAACAATACTTAAATGTTCGAATGCGACGCCTATGCGATGTCGAGTAGGCACCCGTTTCGCTTGCAGTTACTGCCTCGATCAGTACCAGAACCCGGCCGAACTAAAAAGCCACACATACTCCAAACATTCTAAGGACAAACCTGAATTCTTCACTTTGAGATCCTTGTCGAAACACATAGTATATTTGGATATTACTTCACTTCGCTGCAACATTTGCAAAGAGAGTATAGAAGGGTTGCAGGAGTTAATGGATCACTTACGTACAGTTCATGAGGAACTgatacataaacaaataaaaaatcaaatcgtTCCGTTTAAGTACGACGGGAGTCTCCTGTGTACAATCTGTTCGGCTGATATGGATGAGTTTGCAGACCTTCAAGATCACATGAAGGAGCATTATAAGAACTTCGTGTGTAAATCCTGCTCCAAGATGTCCAGCCAGAAACAACAATACATTGTCATTCAACCAAGAGACGAtcgctttcaaataaaattgaagaaaGTTACTGAAGTGCAGAAACATTTACATAATGTTAGAACAATCTTACTCTGCTCTAACGCTACGCCCATAAAACGGTATGGTAGCTTAGGATATGTTTGCCATTTCTGTAATAAAGAGTTTTCAGATGCAGCAAACCTAAAAACTCATACTTTAGAGACACATGAcgacattaaaacaaatttcatgGAAAAACATGGCTTTATAATCAAGTTAGACATAACGTCGCTAACTTGCACGCTGTGTAAGAACACCTCTGAAGACTTAGAAGCCCTTAAGGAACATCTGACATCAGTACACAAAAAGTTCCTGCATACGGatataaaaaactatataattccttttaaatttgATTGCAATTTAATAAGATGTGTTATTTGTCGAAACGAATACAGTAACTTCAAAGTTTTATTAGAGCATATGAACATTCATTATAGGAATCATGTTTGTGACATTTGTGGTAAAGGGTTTATCACTAAACGAGTGTTAAGGATTCACACATACAGACACAAGACAGGAGAGTTCAGGTGCACATTTTGTTCGAAGATATTTGATACGAAGGTCAAACAGAAAGAGCACGAAAGGGCCATACACGTGTGTCATAGCAAAAGGAGTAAATGTGGATATTGTGGAGAGAAGTTCGCTGATTACACGAAGAAAAATGATCATGAAGTAAAACTCCATGGAGCCAAACCCACAGTGTTGAACTGTCAGGCTTGTAATAAATCGTTCAGCAACCAGCGGGCGTTGACAGTACACAAAAAAACTTACCACATGATGGAGAAGCGgctttctaaaaaaaataactga
Protein Sequence
MQHMRIHNDDRRHACSYCGQAFVQKCSLKEKSNVLTRSKERRDSQPVICEEATSKLTLDRKLNFCSFITIRPVGNKALPSVRERQQRISYQKRLTELDWHFDNIRTILKCSNATPMRCRVGTRFACSYCLDQYQNPAELKSHTYSKHSKDKPEFFTLRSLSKHIVYLDITSLRCNICKESIEGLQELMDHLRTVHEELIHKQIKNQIVPFKYDGSLLCTICSADMDEFADLQDHMKEHYKNFVCKSCSKMSSQKQQYIVIQPRDDRFQIKLKKVTEVQKHLHNVRTILLCSNATPIKRYGSLGYVCHFCNKEFSDAANLKTHTLETHDDIKTNFMEKHGFIIKLDITSLTCTLCKNTSEDLEALKEHLTSVHKKFLHTDIKNYIIPFKFDCNLIRCVICRNEYSNFKVLLEHMNIHYRNHVCDICGKGFITKRVLRIHTYRHKTGEFRCTFCSKIFDTKVKQKEHERAIHVCHSKRSKCGYCGEKFADYTKKNDHEVKLHGAKPTVLNCQACNKSFSNQRALTVHKKTYHMMEKRLSKKNN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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