Basic Information

Gene Symbol
-
Assembly
GCA_963576655.1
Location
OY755087.1:15052114-15054137[+]

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 2.5 2.3e+02 3.1 0.9 1 23 115 138 115 138 0.90
2 10 0.065 6 8.1 2.4 2 23 150 172 149 172 0.93
3 10 0.00022 0.02 15.9 0.2 1 20 316 335 316 339 0.94
4 10 3.5 3.2e+02 2.7 1.1 1 17 346 362 346 369 0.63
5 10 3.2e-05 0.0029 18.5 1.2 1 23 375 397 375 397 0.97
6 10 4.4e-05 0.004 18.1 1.1 1 23 406 429 406 429 0.95
7 10 0.0006 0.055 14.5 1.4 1 23 435 457 435 457 0.95
8 10 0.024 2.2 9.5 4.0 1 23 463 485 463 485 0.97
9 10 0.00063 0.058 14.4 5.5 1 23 491 514 491 514 0.98
10 10 0.36 33 5.7 2.6 1 23 523 546 523 546 0.96

Sequence Information

Coding Sequence
ATGAAGACTGAAAATAGTTCAACAGTGGGTCCTATATGGGCTCAAAGTGTTGAATTATCAATCACTGAGGATTGCCTACCAATCATTGGGAGCTCTCAAGTATCTTCTATTCTACAAAACTTGGATCCCATCACAGCAAATAATGCAGTGAACCCTCAAAACATGGATTTGATAATTATACCAACAAGTGACTCGAAGCAACCACCtcttgaaaatcatttgaacCTACAAAGCAACTATGTAGTTCTTAAAGACAATTCCGCCAGTGAACAGGTGACACCCAAAGTACTTGGGAGCAATGTGAATGGCAAGCAAAAGGAATCTTATGAGGATATGCTTTATTTTGTCTGCAACTTATGTCCTTTTCTGTGTACAAAAGACAGCAAGATCACAGAACATCTTGAAAATGCACATAAGAATAAGACAGTCATTAAATTGCCAGAGTTGAAATGCCCTGCAtgccaaaatattttttatcataaaATGTCTTTGAGATCCCATTTGATCCATGATCATGGTGTAGGAAATTCAGATCTAAGTCAGATCATTCAAGCTGTGATATATTATTCTAACAAGACCAGGGGCAAAATGAAAGAGgtaaaacaaaaatttcataaaagGACACttaatgatgaaattatcaCTACAGAAAACAATTCAAACATTGATAGTAAGATAGGTGGTCCTGATGATCATGAAGTACAGCTAGATGATCAGAATAGTATTCCACCTAATGAACAAGTGTCCCAACCTGTTTGTCTTCCTCAAATAGATTTTTCCATCAAAAGGTCAGAGAAAATGTACAATTCTATTGCAAAACAAAACATTAATGAACATatggattcaaaaaaaatcaaaatgacatGCAGCATGCCCAATTGCAAAGTTAAACTACAAGACTTGCAGAAAATGAACTATCATATTAGTTGCCACAATGGAGATAGTTTCAAATGCTCTGATTGTGATGAAGAGTTCACCTCTTGGAAACCCTTAATCTCACATTTATGGCGCCTTCACAAAATAAATATGGAGCTTTTTTCTTGTGACAAGTGTGAATATAAAACATACAGCCTAGCTAAACTAAATAATGTCCATAAATTTATCCATGGTGATGCTAGGaatttcatttgtaatatttgCTCTAAAGCATTCAAAACCAACAAGCAAGTTAGGAATCACAAATTGATCCATAAAGATAAACAAGAGAAAACAGTTCATTCATGTGAGGAATGTTTGAAAACTTTTGGAGATAAAAGGCAGCTCAGGAGTCACATGGATGTTGTGCATAAAAAACTTAGACCTTTCTTGTGTAATTTTTGTGGGTACAAAGGGTCTTCTAGAAGTTCTCTCAAAATGCATGTTAGACAACATACAGGAGAAAAACCATTTTCATGCTCTGCATGTTCGTACACCACCTCGGATCATAACTCCTTGCGCAGACACAAACTACGTCATACTGGACATAAGCCCTACAAATGCAGCTACTGTTCATATGCTTGTATTCAAAGCAGCACTTACAAGACACACCTGAAAACAAAGCACCCTGGAATGGAGAAAGATCTCATGTTCACTTGTCACCAGTGTCAGTTCAGATCTGTCAATAAGGAAATTTATACTACCCATATGGTGACTGTGCATAAGGTGAAGCTGAATGATGGTTGA
Protein Sequence
MKTENSSTVGPIWAQSVELSITEDCLPIIGSSQVSSILQNLDPITANNAVNPQNMDLIIIPTSDSKQPPLENHLNLQSNYVVLKDNSASEQVTPKVLGSNVNGKQKESYEDMLYFVCNLCPFLCTKDSKITEHLENAHKNKTVIKLPELKCPACQNIFYHKMSLRSHLIHDHGVGNSDLSQIIQAVIYYSNKTRGKMKEVKQKFHKRTLNDEIITTENNSNIDSKIGGPDDHEVQLDDQNSIPPNEQVSQPVCLPQIDFSIKRSEKMYNSIAKQNINEHMDSKKIKMTCSMPNCKVKLQDLQKMNYHISCHNGDSFKCSDCDEEFTSWKPLISHLWRLHKINMELFSCDKCEYKTYSLAKLNNVHKFIHGDARNFICNICSKAFKTNKQVRNHKLIHKDKQEKTVHSCEECLKTFGDKRQLRSHMDVVHKKLRPFLCNFCGYKGSSRSSLKMHVRQHTGEKPFSCSACSYTTSDHNSLRRHKLRHTGHKPYKCSYCSYACIQSSTYKTHLKTKHPGMEKDLMFTCHQCQFRSVNKEIYTTHMVTVHKVKLNDG

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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