Basic Information

Gene Symbol
-
Assembly
GCA_903994105.1
Location
NW:1711728-1724068[+]

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 7 0.00016 0.0071 16.4 1.5 2 23 380 401 379 401 0.94
2 7 0.0018 0.082 13.0 1.5 2 23 410 431 409 431 0.97
3 7 0.0031 0.14 12.3 1.0 2 20 441 459 440 464 0.91
4 7 0.00093 0.042 13.9 1.0 3 20 473 490 471 493 0.92
5 7 0.024 1.1 9.5 1.7 1 23 501 524 501 524 0.93
6 7 0.0028 0.13 12.4 0.3 1 20 539 558 539 561 0.93
7 7 0.017 0.74 10.0 0.1 2 23 566 588 565 588 0.94

Sequence Information

Coding Sequence
ATGAAGCCCAAAAAGTGCTGGTACACACGATACGTTTTGACGCTTTTTACTTTGATGTTACTTCACAGTCATGGAGAAGCGATGCAAAACGTCAATATAATCGGGGCGGCAAACCAGTGCAACTTAATTACGAGTCAAACGGACCCTATGCTTCGGAGGCAGATCGACCTGACATGCTTTGAAGTGTTCCGTGCACTGGATCGGCTTTCACTGAACACCGGCTGCCCGGGATGGTCTGACGCCAAGTGCCGTCTGATATCCCCCGGTGACGCCGTCTACCAATGCAGCGTCAAGGTGCCAAACCAAGTGTCATGGTGCGGTGTCGTCCAGCACGGACCACAGACCATTTTCGACTGCGCGCCGGCCCTCCGACCAGCGGACCCGTCCGGCGGAGACAGACCCCAGTCCAGACCAACCTCACCGGGAAGGGCCGATAAGGGCAAAGCGCCTGTCCAAGGAAGAGGCAAGAGTCGCAGAATTGATAGTGGAAGCGCAGCAAATCCATTTTATACCGCGGGCTCTACACAGTCTGCAGGGTTTTCATACGCGGGAGGCTCTCCATACGCTAGGGCTGCTCCATTCGCTGGAGGTTCTTCATTCGCGGAAGGCTCTCCATACGCTGGAGGCTCTTCATTCCCCAGAGGTTCCTCGTACCCTGGAGGTGCTGCACCTCAGGGATATACCCGCCCGGGAACTCCTCAATATACCACGCATTCGGATCCCACTAAAAACCCCAATTTCACTATAGATGATCTCTTCAGGGACGATCCCTCACtggattcaatttttgaaaatacaacACCTGCTGCTGCTCCTCTCATTCCACCCCCTGGCTACATTACAGATGAATCATTCGATGTAGGGGAAATGTTAGGTCCTTCGTTTGGTCAAAATGCACCTTTTGACATTCCGCAACTTCCCTTAAGTCCTCCGATTCCCACAAGTCCACTATTCCCTTCAAGTCCTTTGCGTCCTTCGTATGGTCAAAATCCACCTTGGCCACAAATTACTCCATATTCTGGATACAATCAGGGTGGAGATGGATCCGTTGCACCCAGTTCTCCGCCTAGAAGTTCATCCGGAGTTAGACGGAGTCCATCTGGAGGTGAAGGTGGAGCGCCAGACACAGTGGATTGGAGGTGCCCCGAATGCGGAAAATCCTTCCATAACAAAGATACAATAAACGTGCACAAATATAATCATTCCGCAGTTCGCAAAGGCTATACCACGTGCAGGAAATGTCGTCAGGTTTTTGACACTTTACAGCAATTCATTAATCATATAAATTCACACCTCGAACAAGATGGAATCTGGGTTTTAACGTGTGACACGTGTCATCTTACTTTCAAATCAGAGATTTCTCTAAGGAAACACGAAGCGGAGAATAATCATGGGATAAATCGTCGATCCCTAGCGTGTACTAAGTGTAAACGAACTTTCGAAAACCAGGAAGCTTTGAGCCATCACCAATGGATTCATGAGGCTATTGACCATTCAAAACATAAATGCCTCGAGTGCCTTCAGGTCTTTGCATCGGCGGCTCACTACAATTGGCACTTCCAAGCTAAACATGGATTAGGTGCACCACCCCCTCCCAGACCACCCGTGCGCCAATTTGTCTGCGACACCTGCGGAGATTCTTTCGATAACCCTGTCTTATTCAAAAGGCACCAGCCGAGCCACACTGGAGAATTGGTCTGCCCCGTATGTTGGACATTTTTCTCAGCGCCGTATAGTAAACAGGTGCACATGGAAAATAAACACCGGGGTCATCGGAGTCCCTAA
Protein Sequence
MKPKKCWYTRYVLTLFTLMLLHSHGEAMQNVNIIGAANQCNLITSQTDPMLRRQIDLTCFEVFRALDRLSLNTGCPGWSDAKCRLISPGDAVYQCSVKVPNQVSWCGVVQHGPQTIFDCAPALRPADPSGGDRPQSRPTSPGRADKGKAPVQGRGKSRRIDSGSAANPFYTAGSTQSAGFSYAGGSPYARAAPFAGGSSFAEGSPYAGGSSFPRGSSYPGGAAPQGYTRPGTPQYTTHSDPTKNPNFTIDDLFRDDPSLDSIFENTTPAAAPLIPPPGYITDESFDVGEMLGPSFGQNAPFDIPQLPLSPPIPTSPLFPSSPLRPSYGQNPPWPQITPYSGYNQGGDGSVAPSSPPRSSSGVRRSPSGGEGGAPDTVDWRCPECGKSFHNKDTINVHKYNHSAVRKGYTTCRKCRQVFDTLQQFINHINSHLEQDGIWVLTCDTCHLTFKSEISLRKHEAENNHGINRRSLACTKCKRTFENQEALSHHQWIHEAIDHSKHKCLECLQVFASAAHYNWHFQAKHGLGAPPPPRPPVRQFVCDTCGDSFDNPVLFKRHQPSHTGELVCPVCWTFFSAPYSKQVHMENKHRGHRSP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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