Basic Information

Gene Symbol
-
Assembly
GCA_963969285.1
Location
OZ017740.1:51429004-51445884[+]

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 16 0.097 41 8.0 0.1 1 23 297 320 297 320 0.97
2 16 0.082 34 8.2 0.7 1 23 365 388 365 388 0.94
3 16 0.007 2.9 11.6 0.1 2 23 456 478 455 478 0.89
4 16 0.0012 0.49 14.1 0.1 1 23 489 511 489 511 0.98
5 16 0.095 40 8.0 5.2 1 23 517 540 517 540 0.90
6 16 2.7e-05 0.011 19.2 4.3 1 23 592 614 592 614 0.98
7 16 0.071 30 8.4 1.4 1 23 620 643 620 643 0.94
8 16 4.1e-05 0.017 18.6 1.6 1 23 654 676 654 676 0.99
9 16 0.0003 0.12 15.9 1.1 1 23 682 704 682 704 0.96
10 16 0.00027 0.11 16.0 0.5 1 22 710 731 710 733 0.91
11 16 0.00026 0.11 16.1 0.2 1 23 741 763 741 763 0.98
12 16 3.9e-06 0.0016 21.9 1.4 1 23 769 792 769 792 0.98
13 16 7.7e-05 0.032 17.8 0.8 1 23 799 821 799 821 0.99
14 16 0.17 71 7.2 0.0 1 23 827 850 827 850 0.92
15 16 0.00052 0.22 15.1 1.3 1 23 860 882 860 882 0.99
16 16 3.7 1.6e+03 3.0 0.5 1 23 888 911 888 911 0.88

Sequence Information

Coding Sequence
ATGACGGCATTGAAGATTAAAAACTGCCCATCAGATGCCAACCACTTCGCTATGAAATCCAATTATTGGAGAATTTGCCGAAGACGTCAAAGTGACATTGAATTCAAAGGCGCAAACATTTTGTGTATCAACAAGTTTGAGGTTTTCATGGAAATTTCGAGTAAAATGTTACCCGGAGCGATTTGTCGGACGTGCTTAACAACAAATGGTGCAATGTTGAATCTGTTCGGCCCAAACAGCATTCAATTAGATCCGGGAAAGGAGACAGTAGCCGATTTCGTGGGATTATTGACAAGATCAATgGTGGAAGAAGATGATGGATTACCAACACAAATATGTCAAGCATGTTACCTTGAAATCCAACGAGCGTTTATCCTTAAAACAAAGTGTGAACGTTCGCTCGCTGTTCTAACTCAATTGAGAAATGTTAAGATAAAAATCAGAAAACTTAAATCGGATTCCAGTCCTGATACAAGTCGAAAGAAACCAATGTTTTATATGAATGGTCTAGCACATAATAAAGTCTCAGATCTTTCAGATAAAGCTGTAATATCAGTGACATCTAGTGAAGCCGATACAATGGAATTCGATGCAAtgaatatatttaataaaaaaaatacatcatGTACGACAAAATATGTCGAATTTCTGGATGATCCTCTGAATTTAATAGAATTCGACCAATTGGGAGGGTCCCAGCCAATGACTGTCAACGACATTGATTTAGATGGAGTAGTAATAAAGCAAGAAGTTGACTCGGATGTGGCTAGCACAATGGATGACGATACGTTAATTACATTTGGCGACAACTTGATGAAACATACAACAGCGCATAATGAACCAAATGTTAATAATACCACAAATAATAGTGCAGTTGAAGAGCAGAACTTCGAGTGTCCTGCGTGTCCGTATGTTCATATATCAGCAGAGGGGCTGGAAAAACATATGATAAAGAATCATATGAATGAAAATATGTGTTCTATTTGCAGTAAAGATATAAGCGGAAACGAGAAAGAACATTTTGCACGACATATTGGACCACATGTGGACTATGATGAAATCATTGAAGGAACAACGTTAATTGGTGGTGATTATCAGTGTTGTTTCTGCACGGAGCTTTTTAAATTGCGCGTAGATCTTGAAAGTCACATTGAAGCTGCTCATCCATCTCACAATCGAGTGGTTAAAACGGAACAAACACCAGCAACAACAACTGTGGAGGGTAGTGTTTTGAACAAAATCGACGATATTTTCAACGAAATCATCGAGGAAACCATGGATGATTATCCAGCGAAGATGCCAGCTGCGAATGTGAATATTCCGATCAAAACTGAAGTGAAAACTCCAATTCTCAGTCGTTCTGTTCGATGCGATGTTTGTGAAAAATCATTCGTTAATGAAGAGGAATTAGACTTGCATGTTAGTTTCATGCATGCAGTAAAGAATGCAAATGGAGAAATTGTTTTCAAATGCCCTCAGTGCCCACAAACGTATGCTGACAAAGCGGTTTTCGTTGATCACATTAAATTGCATGAGACCGGCAAGCCTTATCGATGTGACATTTGTCAACAGACGTTCCGATTCAAGCGCAATCTTGATTGCCATGTGCGTTTTAAGCATTGTCCTGAATGTAAGGGAGTGAAAACTGCCAACTGCAGTACATGCTGCGTTAAATTAGGTCCGAAACAACGATCAAAACAATGTCCTGAATGCAAAGGAGCTAGAAACATTCCTTGTGACACGTGTGCGGCGAAAGTGGGCCAAAAGCAAACATTCGAATGTGATCTGTGTTTCAAGGCGTTTTCGAACAGATCAACACTGCATCGTCACAAACGAATGCATTTACAAGACAAACCGTTCAAATGTGAACTGTGCTCACAGAGCTTCAACTACAAGCAAATTTTGAATCTGCACGTGAAAGAAAAGCATGGCCCAGACGCGGTAAAAGTTGAATCGGAATATAAATGCAAATCTTGTTCGATGGTTTTCACGCGAAGATTAGAATTGATTATGCACATGAAAACACATGACACAACGAAAATACACACGTGTCAATATTGTCCGCAAAGCTTTGAACTGTACAGTCTTTTGGTCCGGCATATGGAAGAGCATATAAACGCAGATGGTTTCCAATGCACAGAGTGTTCGGAAAAGTTCTCCACTGAGGCGAGCTTCAAGGCGCATATAGTCGACAAGCATGAAACGAAACAAGTAGCATCATTTCAATGCGGTGAATGTAATATGGAATTCACAGACAAAAACCTTTTGGACGAGCATGCTCGATCTCACGCTAACGACAAACCATTCGAATGCGAAATCTGCAAACAAAGCTTCCGATACTCGCAAAGTCTTGCTCGCCATATAAAAACATATCATACAAAGCAGCTTCAAATGTACCAATGCCAGCTTTGCCCGCTAACTTTCCAAGATCGCTCTGAGCTAGTGAATCACTTCAGAAGTCATACCGTTGAAAAAACGTATGAATGTGAAGTGTGCGCCGAAAAATTCCCAGACAAATTAAGACTCGGAGCACACATGGTACTGAAGCATGATGCGAAAAGCGCGCAGAAGCAATACTTCAAATGCGAAACTTGTTCAAAGACGTTTTGGAACAAGGGCCTCTATGAATCTCACATGGAAACACATAGGATGGAGAGCACCTTTTCATGTGAATTGTGTAGTCTAGTGTTCCTTTCAGGGCAGCTTCTGAAGCAACATTTCGAAAAAATGCATCAAGGTGAGATAAACGATATGCTGCCACAGTTCTTACAACCATCCGATTTACAAAATGATACAATTTTGCTTATCAACAACACAAACATAGTTTACGAGAATAGCACAAGTGATAACAATTTTGTATTCAGTGATGCATTTCTTAACAGTGATCAAATGATAGGTATTCAGGGAGCAGAATCAATGATCAATGACTTGTTCGATGAATCTAGTATTGAGGTTGCATAA
Protein Sequence
MTALKIKNCPSDANHFAMKSNYWRICRRRQSDIEFKGANILCINKFEVFMEISSKMLPGAICRTCLTTNGAMLNLFGPNSIQLDPGKETVADFVGLLTRSMVEEDDGLPTQICQACYLEIQRAFILKTKCERSLAVLTQLRNVKIKIRKLKSDSSPDTSRKKPMFYMNGLAHNKVSDLSDKAVISVTSSEADTMEFDAMNIFNKKNTSCTTKYVEFLDDPLNLIEFDQLGGSQPMTVNDIDLDGVVIKQEVDSDVASTMDDDTLITFGDNLMKHTTAHNEPNVNNTTNNSAVEEQNFECPACPYVHISAEGLEKHMIKNHMNENMCSICSKDISGNEKEHFARHIGPHVDYDEIIEGTTLIGGDYQCCFCTELFKLRVDLESHIEAAHPSHNRVVKTEQTPATTTVEGSVLNKIDDIFNEIIEETMDDYPAKMPAANVNIPIKTEVKTPILSRSVRCDVCEKSFVNEEELDLHVSFMHAVKNANGEIVFKCPQCPQTYADKAVFVDHIKLHETGKPYRCDICQQTFRFKRNLDCHVRFKHCPECKGVKTANCSTCCVKLGPKQRSKQCPECKGARNIPCDTCAAKVGQKQTFECDLCFKAFSNRSTLHRHKRMHLQDKPFKCELCSQSFNYKQILNLHVKEKHGPDAVKVESEYKCKSCSMVFTRRLELIMHMKTHDTTKIHTCQYCPQSFELYSLLVRHMEEHINADGFQCTECSEKFSTEASFKAHIVDKHETKQVASFQCGECNMEFTDKNLLDEHARSHANDKPFECEICKQSFRYSQSLARHIKTYHTKQLQMYQCQLCPLTFQDRSELVNHFRSHTVEKTYECEVCAEKFPDKLRLGAHMVLKHDAKSAQKQYFKCETCSKTFWNKGLYESHMETHRMESTFSCELCSLVFLSGQLLKQHFEKMHQGEINDMLPQFLQPSDLQNDTILLINNTNIVYENSTSDNNFVFSDAFLNSDQMIGIQGAESMINDLFDESSIEVA

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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