Basic Information

Gene Symbol
-
Assembly
GCA_037414795.1
Location
JAZBGZ010000309.1:50885-52548[+]

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 14 3.8e-07 2.3e-05 24.3 2.1 3 23 91 111 89 111 0.95
2 14 7.6e-06 0.00045 20.2 2.5 1 23 117 139 117 139 0.98
3 14 0.21 13 6.2 3.9 1 23 145 167 145 167 0.89
4 14 3.9e-07 2.3e-05 24.3 2.0 1 23 173 195 173 195 0.98
5 14 0.00044 0.026 14.7 0.9 1 23 201 223 201 223 0.98
6 14 0.00049 0.029 14.5 3.4 1 23 229 251 229 251 0.98
7 14 6.9e-07 4.1e-05 23.5 0.1 1 23 259 281 259 281 0.97
8 14 0.013 0.77 10.1 2.4 2 23 288 309 287 309 0.95
9 14 0.00011 0.0064 16.6 2.8 1 23 323 345 323 345 0.97
10 14 0.00062 0.037 14.2 1.9 1 23 353 375 353 375 0.97
11 14 0.00015 0.009 16.1 0.2 1 23 381 403 381 403 0.97
12 14 9.8e-06 0.00058 19.9 2.8 1 23 409 432 409 432 0.97
13 14 4.9e-05 0.0029 17.7 0.6 1 23 439 461 439 461 0.98
14 14 0.046 2.7 8.3 3.1 1 22 467 488 467 490 0.84

Sequence Information

Coding Sequence
atGTTTACaaatgatgatgatgaaatcgATACAAAAGACGCTCTCGAAAATCTAAACGtctcattatcatcattgattAATGATGTTGACGCTGATAATaacgacgatgatgatgaagatgatagtgatgatgatgatgatagtggtgatgatgatgatgatgatgataagaaaaaacaattcgaaacTGAAGATCCGCTAAAAATTGaaacagatcatgattattatcagaaacgtaaattaacaaatgatggTGAGAAATTATTAGCATGTCATTTATGTAATAAAACGTTCATacgtaaatataatttacGTCGTCATATAATTTTACATAATACAGAAAATTCgtacaattgtaatttatgtaataaacaatttacaacacgtaaattattacaattacattTGATGCGTCATCGTGGTGAGAAACCgttcaattgtaatatttgcAATAAGAGTTTTCTATGTCGTCGTTATTTAGATACGCATTTACGTTTACATAATAACGATCGACAATTCAAATGTAATTTGTGCAATAAGGGCTTTACGTTACGtagtaatttaaaaaaacataTAATCCGTCATAATAATAAGGAAATATATAAATGTGAATTATGTAATAAGGGTTTTCTATATAAGGAAACTTTAAATACACATTTATCGATACATAGCGGTGAGAAACCATATAAATgtgattattgtaataaagGTTTCTTTCATATATTAAGTTTAAAAACACATTTACAATTGCACgatatcaataatgataataaatttatatgtgATTATTGTGGTAAAATATTCGAACAAAATTACGAATTAGAACAGCATCTATTGATACATGCTGATAAAATATCATTGACATGTAAAGAATGTTATAGTTGTTTTAAAGATAAACCAACTTTAGATCAACATTTAGAACAACATGctttagaaaaacaacaattacaacaacacaaacaacaatatcaatgtGAATTGTGTCAGAAagatttcaaaacaaaacgTTCATTACATGTACATTCTTTAATACATAAAGACGACAATGATAAACCGTATGaatgtaattattgtaaaaagaAATTCTTGTATAAGATTAGtttagaaaatcatatatCACAACATACCGGTAATCGTCCTtatatttgtgattattgtggtAAATCATttgctataattaattatttccaagAACATTTATTAGTTCATACAAATGATAAACCATATATATGTAATGTgtgtaatttgaaatttaaatatcgTGCTAGTTTGAATCGACATCgtagaaaatttcataataatgatgagaataattttgtttgtgaTTTATGTGGTAAatcttttatattgaaatcgaTATTAAATACGCATTTAAAGAAACATAATGGCTGGAAACCGTTTCAATGTAATTTGTGTAATAAAGGATTTACTAAAGAAATTTATCTGCGATGTCATAAAGttaaaatacataataaagtctag
Protein Sequence
MFTNDDDEIDTKDALENLNVSLSSLINDVDADNNDDDDEDDSDDDDDSGDDDDDDDKKKQFETEDPLKIETDHDYYQKRKLTNDGEKLLACHLCNKTFIRKYNLRRHIILHNTENSYNCNLCNKQFTTRKLLQLHLMRHRGEKPFNCNICNKSFLCRRYLDTHLRLHNNDRQFKCNLCNKGFTLRSNLKKHIIRHNNKEIYKCELCNKGFLYKETLNTHLSIHSGEKPYKCDYCNKGFFHILSLKTHLQLHDINNDNKFICDYCGKIFEQNYELEQHLLIHADKISLTCKECYSCFKDKPTLDQHLEQHALEKQQLQQHKQQYQCELCQKDFKTKRSLHVHSLIHKDDNDKPYECNYCKKKFLYKISLENHISQHTGNRPYICDYCGKSFAIINYFQEHLLVHTNDKPYICNVCNLKFKYRASLNRHRRKFHNNDENNFVCDLCGKSFILKSILNTHLKKHNGWKPFQCNLCNKGFTKEIYLRCHKVKIHNKV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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