Basic Information

Gene Symbol
-
Assembly
GCA_963942555.1
Location
OZ012609.1:469247-472623[-]

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 1.1e-05 0.0017 19.5 1.1 1 21 21 41 21 42 0.95
2 11 0.18 26 6.3 1.3 1 18 50 67 50 67 0.92
3 11 0.005 0.74 11.2 1.6 1 21 86 106 86 107 0.94
4 11 1.7e-05 0.0025 19.0 2.0 1 23 115 137 115 137 0.98
5 11 0.00019 0.028 15.7 0.0 1 21 194 214 194 215 0.92
6 11 0.02 3 9.3 2.1 1 20 294 313 294 315 0.94
7 11 0.76 1.1e+02 4.3 0.2 1 13 323 335 323 336 0.91
8 11 4.8e-06 0.00071 20.7 0.8 2 21 360 379 359 380 0.95
9 11 0.00093 0.14 13.5 0.2 1 23 388 411 388 411 0.95
10 11 0.0016 0.24 12.7 0.7 5 21 472 488 471 489 0.93
11 11 0.014 2.1 9.8 5.6 1 23 497 520 497 520 0.96

Sequence Information

Coding Sequence
ATGACTGATGCATTATTTCCCATCATTGgCTGGATACAACGTCGTGATTGCTCATCACCATTTCAGTGTCCACAATGTGGAAGATGTTATAAAATACAGACATCATTGAGACGTCACTTGATGATAGAATGCGGAAAACCACCGCAACACAAATGTCCTTATTGTCCCCATTATAGCAAATACAGATCGAatttcattCGACCGAGCTACGTAAGACGAACAGGCAGTCGTAGAAGATTGCGTGGACAGGGAAGATACTTTTGTCGTAATTGTGGTCGTCGTTATCATGCTGAGAAGAATTTAAAACGACACATTGAAAAAGAATGTGGAAAAGAACCGACATTTCAGTGCTCATATTGTCCTTATCGTTCCACCTACAAATCTTATCTAGAAGTACACATGTCGAAGCACAAACAGCAGGGGCGCAATTATAGCCCGGCTAACTGGACAGTACCAACTCTTCCATCTACATCAAAAGACAATGTGGTGAATCCATCGGGACGACGTCTTCGTTCAACGACATTCAGTGATGATTACTACAGTGCAAAATCGCGAGTACGAAGACTGGGtccaagaaaatatttgtgcACAGATTGTGGTACAACATTTGCTCTGAGAGCCTCCCTGGCGCGTCATCAATCAATTGAGTGTACCCGTGAATTAACGCGAGTTCATCCAATTCCAAAGGCAAAAACACCCAAAATTAAACCAGTGAATATATTGATGcctcaattgaaaaaagtcaAGACACTTGCACCGAAAGTGCGAGTAATTCTGCCGAATACGAAGATGTTAATTCCAATAACACAAATTAAATCGGATCCCGATGCACCAGTAACACCTGTAATCGAGGGAAATAAGAGGAAGAAGGATAAAAAACATACATGCAAACGTTGCGGACGTGATTACGCATTCTACACATCTCTTTGGAGGCATGTTCATTATGAATGCGGTATGGAGCCAAAATTTTCGTGTGAAACTTGCCAATTACGTTTTGCACAAAAGGcTGTATCGAAGACATTCTTACATAAAAGGAGATCGAGACCATTGAATGAAACACTTGATGAACGTAATCTAAAATGTCCACACTGCGGAAGAATCTACAaggctaaaaaaaatctacaaacaCACATGAGACTCGAGTGTGGTGGACAAAGACACTTTGCCTGTGTTGTTTGTCCATCaaaatttacacaaaataTTGGACTACGTCGACATTTAATGCAACAGCATAATATATATCTACCACCAAAGTTTTCCTATGCAGGATTCTACTTTAAACAAGAAGATGATAATATTAACTTCTCTGGTATGGACAATCAGGGACAATTTTATCCCTCCTATTCGCAAAATCAAATTACACCGACAAGTCTACGTTCTCAATCcagtggtggtggtggtggatttttttgtacatgtgGAAAATCATATAcattgaaacaaaatttacTGAGACACATGAAATATGAGTGCGGgggtgaaagaaaattttgctGTCATTTGTGCGCTAATAAATACACACAAAGTGATACATTGAGACGTCATCTCATACGTTATCATAATGTAATTCCTGAGAGACCAAAGAGAGCACAACAACAGCAGCCTCCATCGTATCTTtag
Protein Sequence
MTDALFPIIGWIQRRDCSSPFQCPQCGRCYKIQTSLRRHLMIECGKPPQHKCPYCPHYSKYRSNFIRPSYVRRTGSRRRLRGQGRYFCRNCGRRYHAEKNLKRHIEKECGKEPTFQCSYCPYRSTYKSYLEVHMSKHKQQGRNYSPANWTVPTLPSTSKDNVVNPSGRRLRSTTFSDDYYSAKSRVRRLGPRKYLCTDCGTTFALRASLARHQSIECTRELTRVHPIPKAKTPKIKPVNILMPQLKKVKTLAPKVRVILPNTKMLIPITQIKSDPDAPVTPVIEGNKRKKDKKHTCKRCGRDYAFYTSLWRHVHYECGMEPKFSCETCQLRFAQKAVSKTFLHKRRSRPLNETLDERNLKCPHCGRIYKAKKNLQTHMRLECGGQRHFACVVCPSKFTQNIGLRRHLMQQHNIYLPPKFSYAGFYFKQEDDNINFSGMDNQGQFYPSYSQNQITPTSLRSQSSGGGGGFFCTCGKSYTLKQNLLRHMKYECGGERKFCCHLCANKYTQSDTLRRHLIRYHNVIPERPKRAQQQQPPSYL

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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