Basic Information

Gene Symbol
-
Assembly
GCA_963942545.1
Location
OZ012663.1:102077658-102080189[+]

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 9 7.7e-05 0.015 17.3 0.7 1 23 270 292 270 292 0.98
2 9 2.6e-07 5e-05 25.1 0.2 3 23 301 321 300 321 0.98
3 9 1.3e-05 0.0025 19.7 0.8 1 23 327 349 327 349 0.97
4 9 0.0024 0.46 12.6 1.5 1 23 355 377 355 377 0.98
5 9 1.6e-05 0.0032 19.4 1.8 1 23 383 406 383 406 0.96
6 9 2.6e-05 0.005 18.8 2.1 1 23 412 436 412 436 0.98
7 9 1.1e-05 0.0022 19.9 5.4 1 23 442 464 442 464 0.98
8 9 6.5e-05 0.013 17.5 1.0 1 23 470 492 470 492 0.99
9 9 5.4e-05 0.011 17.7 0.5 2 23 504 525 503 525 0.96

Sequence Information

Coding Sequence
atgTGGAATTCGCTGAGCAATATCAACTACTACGAGGATATTCTTGCGAAAAGACTAGCGAACGGCGGGTCGCTGGACCAAACAGATGTGGATTTTCGAAAGATATGCAGGACATGTCTGCGCGACGCTCCCGATTGCGATAATTTGCGCGAAAACTTTGAAACAGGcgctattaatttcaatttcgatgaaAGGGTCTTGCAACTGAACGACATGCTGGCGGACTTAACGGGACAGGAGATAAGTGATTCCGATCCGTTTCCTCACCAAGTTTGCAATATTTGCATACAATATATCAGTGGTGCCTACTTTTTTCGGTTGCAATGTGGCAAAGCTGAAAACCTTCTACGTCGATTGCATGACGCACTGAACGAGCCATCAATCCAATTTTCGTCATCATCATGTTCACCGCGATCAAGtgaaaatacattgaaaaatgaaagcagATCAACTACGCCAAACATAATTGAAATTATCCCGGCGCACGATGACAATGTGGAGGAAATGGACAATGACGGAGAATACGATCCTAAAAAGATTAGTGTTGAATTCGATGGTGTTCAATATCAAATTGATTCGGAAATGTATCAagtggacgaggaggaggaaGAAGAAGTGTGGGAGAGCGAAGAAACCAATGTGCTGGAATGCaatgaaactgttgaaacgggCAATGCAAAATTGCAGGATATCAAGATAGAGACATTCAACAACGAAGAAGACAGCATGCTGAAAAGTGTGGTCAAGGGGCCTAGAAAAAGGAGCAAATACTTGCGGCTGAAAGACGATGGAGACTCGGCCGTGAAGTTTGTGTGCGAAATTTGCGATTCCAGGTTTACGAAAGTACAAAGCTTGAAACGACACGTGAAAATCCATCAAGCTGatcagaaaaacaaaatttgttcgTATTGTGGTAAAGGATTTATTCGGACGGACGATTTAACGAGGCACATTCGCATTCATACTGGCGAACGACCGTATGCATGCTCGCTTTGCCCGAAAAGATACAAGCAGACGTCCGAGCTCAAGGAACATCAACTTTCCCATTCGAATGCGAAAACCTTCACTTGCTCCGTGTGTGGAAAAGTTTTGAAGACTCGCAACGGTCACTATGTGCACATGCGCATACATTTGGGTCTTAAGAAGCATGTTTGTGAGTACTGTGGCAATCGTTTCGTCACTTCCGGCGAGCTAAGCTCTCATATGCGGCACATACACGAAAAGAGAAAACCGTTTCGGTGTAGCAGAGATGAATGCAATCGCGCCTTCACCACCAAGCATGCCTTGAATATCCACGAACGATCCCACACGGGCGAGCGGCCATTCCACTGTACCTATTGCACAAAAAAATTCTCCTCGAAATCTTTCCTCGCTGACCATCTGAGAACTCACGAAGGCTTGAGTCCTTACAAGTGCTATATATGCAACAGAAATGTAGTTACTCGACAAGCCCTGAGAAAGCATTTACAAATGCATCTAGCGGCAGGCGAAGGTGGACAGATATTACTGGAATGTCCTACATGTGCCAGGTGTTTTGTGACGGCCAGCGATTTGGAGACGCACACAAATGAACATTGCACAGGCTACGATCAGTTAGACGATGATGTGgacataattgaaaatattgacgAAGATGGTAGTTTTGAGGATGAGATAGATGTCAAGCAGGCATCGAATAGCGACGAATAA
Protein Sequence
MWNSLSNINYYEDILAKRLANGGSLDQTDVDFRKICRTCLRDAPDCDNLRENFETGAINFNFDERVLQLNDMLADLTGQEISDSDPFPHQVCNICIQYISGAYFFRLQCGKAENLLRRLHDALNEPSIQFSSSSCSPRSSENTLKNESRSTTPNIIEIIPAHDDNVEEMDNDGEYDPKKISVEFDGVQYQIDSEMYQVDEEEEEEVWESEETNVLECNETVETGNAKLQDIKIETFNNEEDSMLKSVVKGPRKRSKYLRLKDDGDSAVKFVCEICDSRFTKVQSLKRHVKIHQADQKNKICSYCGKGFIRTDDLTRHIRIHTGERPYACSLCPKRYKQTSELKEHQLSHSNAKTFTCSVCGKVLKTRNGHYVHMRIHLGLKKHVCEYCGNRFVTSGELSSHMRHIHEKRKPFRCSRDECNRAFTTKHALNIHERSHTGERPFHCTYCTKKFSSKSFLADHLRTHEGLSPYKCYICNRNVVTRQALRKHLQMHLAAGEGGQILLECPTCARCFVTASDLETHTNEHCTGYDQLDDDVDIIENIDEDGSFEDEIDVKQASNSDE

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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