Basic Information

Gene Symbol
-
Assembly
GCA_000648675.3
Location
NW:1805534-1813533[-]

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 0.0038 0.24 11.4 0.5 3 23 195 216 194 216 0.94
2 10 0.51 32 4.7 0.9 1 23 222 244 222 244 0.95
3 10 8.1e-07 5e-05 22.9 0.6 1 23 250 272 250 272 0.98
4 10 3.7e-05 0.0023 17.7 4.7 1 21 278 298 278 300 0.94
5 10 1.2e-07 7.3e-06 25.6 0.5 1 23 309 331 309 331 0.98
6 10 9.8e-08 6.1e-06 25.8 0.3 1 23 337 359 337 359 0.98
7 10 0.00071 0.044 13.6 3.1 1 23 365 387 365 387 0.97
8 10 3.9e-06 0.00024 20.8 3.4 1 23 393 415 393 415 0.98
9 10 0.00012 0.0073 16.1 1.8 1 23 421 443 421 443 0.98
10 10 8.1e-05 0.005 16.6 5.4 1 23 449 472 449 472 0.98

Sequence Information

Coding Sequence
ATGGACGGGATGGAGTTGTGCCGACTCTGCGCCCTCGAGAAGGATTACCTTTTGTGCATTTACGGCGAGGAAGGAAACAGACTGTGCATCgaggccaaaattaaaaaatgcctcAACATCGAGctaGCTGACAGGGAGAACCTTCCAAAATCCATCTGTTTAGAATGTTGTACAAAGCTAGATGCATTTGATGAGTTTCTCGACAGCACTTTATCAGCACAAACAACacttaacattatttttccagaaaagtcaaaatttaaGAATGAACTTCCTATATCTACAACCAACAATGTTATAGAGAGAGTAATGAAAAATCATGAATCAGAAGAAGAATTTGATGATGAGTCTGAAGAAATACCCTTCACAATTGATTCTTCAAACAGCGATGTTTTGTTGAAAGTACAGGACGCCCAATTCATCGTCCAAAAGCAAGACGGGAATCAAATTAGCAATCtagCCAATAGTGAAATAACGCCAAGTGAAGAATCCAGTAGCTACAAATGTGAAACTAATGAAACCAGCAGCGATCCGGATTCAGATAACGGAAAAGCAAAGGATTGGGAACCTCAAAATTGGCTGTGTTCAGATTGTTCAGAGgaATTTACTTCAGTTGACGATTTACGTTTGCATCATGCCAATGAGCATAAACAAGATCCCCGGTACATGTGTGCTTACTGTTCTAAGCTCTTCCTAGTTTTCAATGGCTTTATTACACACATTAAAAGACATAAAAACGGGTTAAAATACAGCTGTGATGATTGTGGAAAAGGGTTTTCTAATAAGAAAGTATTGGAATCACACCGCCTTACACATTCCGATGTCAAACCGTATGTTTGTCAAGAGTGCGGCAAGTGTTTTAGGCAGCAGAGTGCTCTTTATATTCACAGTCGATGTCATTTGCCTGatgctgtaaaaaataaatatccttgTGACCAATGTAACAAACAGTTTTCTAGCAAGCCCAATTTGGTGACACACATGAGGATTCATACCGGTGTTCGGAATTTTACGTGTGACCAATGtggaaaaagttttattcaaaaaggAAATCTTGACGCCCACCTTCTGACCCATTCCCATGATAAACCTTTCTCCTGTGAAGTTTGTAATAAAAGATTTAAAACAGGGATGCAAGTACGGAAACATCACTCGGTGCACACCGGAGCAAAACCACACCAATGTGATGTATGTGGAAGAACTTTCAGGGAGAAAGGCACGCTGAGGGAACACCACAGGATTCACAGCGGTGCAATGCCGTTTACATGTGAATTTTGTGGAAAGGCATTTAGATTCAAAGGAATACTTACAacGCACAGAAGGCAGCATACCGGAGAAAGGCCCTATTCCTGTGTAGAATGCCAACACCACTTCACAAACTGGCCAAATTACAACAAGCACATGAAGAGAAGACACGGGATCAACACGAGTCGCTCGGCACGTACTGAGAAACAAATCACACCTCCACCGCCCCCGCCCCCACAACAAATCATCACCGGTACATACCAAGACATCCAAACTCCTGATTTGTACACAAACATTTCTACACAGAACATAAACCAGAACCTTCCTACTTACATGGCTTATAATGTGTACAGTCTCTCTCAGGAGACACCGCTCGATCCGACTTCAACTATAGACATACTTCCAAGATAA
Protein Sequence
MDGMELCRLCALEKDYLLCIYGEEGNRLCIEAKIKKCLNIELADRENLPKSICLECCTKLDAFDEFLDSTLSAQTTLNIIFPEKSKFKNELPISTTNNVIERVMKNHESEEEFDDESEEIPFTIDSSNSDVLLKVQDAQFIVQKQDGNQISNLANSEITPSEESSSYKCETNETSSDPDSDNGKAKDWEPQNWLCSDCSEEFTSVDDLRLHHANEHKQDPRYMCAYCSKLFLVFNGFITHIKRHKNGLKYSCDDCGKGFSNKKVLESHRLTHSDVKPYVCQECGKCFRQQSALYIHSRCHLPDAVKNKYPCDQCNKQFSSKPNLVTHMRIHTGVRNFTCDQCGKSFIQKGNLDAHLLTHSHDKPFSCEVCNKRFKTGMQVRKHHSVHTGAKPHQCDVCGRTFREKGTLREHHRIHSGAMPFTCEFCGKAFRFKGILTTHRRQHTGERPYSCVECQHHFTNWPNYNKHMKRRHGINTSRSARTEKQITPPPPPPPQQIITGTYQDIQTPDLYTNISTQNINQNLPTYMAYNVYSLSQETPLDPTSTIDILPR

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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