Basic Information

Gene Symbol
-
Assembly
GCA_958496175.1
Location
OY292279.1:45025115-45029638[+]

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 3.6e-05 0.0024 18.4 0.2 1 23 249 271 249 271 0.94
2 10 3e-05 0.002 18.7 2.8 1 23 276 298 276 298 0.98
3 10 0.0025 0.17 12.6 6.0 1 23 304 326 304 326 0.97
4 10 2.7e-06 0.00018 22.0 0.3 1 23 332 354 332 354 0.98
5 10 3.6e-05 0.0024 18.4 0.8 1 23 360 382 360 382 0.97
6 10 4.8e-06 0.00031 21.2 1.5 1 23 388 410 388 410 0.98
7 10 0.00056 0.037 14.7 1.6 1 23 416 438 416 438 0.96
8 10 2.9e-07 1.9e-05 25.0 2.2 1 23 444 466 444 466 0.97
9 10 0.14 9 7.2 0.6 8 23 496 511 491 511 0.94
10 10 0.00055 0.037 14.7 1.9 2 23 516 538 516 538 0.97

Sequence Information

Coding Sequence
ATGTTTACTTTGCTGGAAGTCCAGCGATGTTTGATTTGTTCGAAGGAAACCGACCAAATGATTCTCCTGAACCAAACCTGGAACGGATGGGAAGCTATAACTTTGGAAAATGCTTTGCAATATTTACAGTTTCCTAGTATTGCAAATATGGAAATAGATGGACATGTTTTGTGTGTGGTTTGTGTAGCAAAAGTTCAAATttgttacaaattaaaaatgaaatgttacCAAATTGAAAAAGACTTGGAAATTTCATCCGAAAGTACATCTTGTGAACGATCTATTGGTTCAACAGTGCTACCGATTAATAATGTAATACCCAGAAGTACCCACGTGGAAATCATCAAAGTAAATTCCAGTGAAAATGATAATTTAGAAGTAATTACAAAACGAGAAGATATTTTCCCACCAATGTCTTCTACAATGAATCATTCTCCCACTAATCCACAAGTTAATATTGGTAAGGGAATTGTTGGTAATATTTCCAccgaaaattataattttcaagaaGAAGACTCCCACGAAATTGCTCAAATCAAAGAAGAAATAAATGTTGAACATCTAGAAACGAATTTGGCACATTCGGAAATTAAACCACAAATGCCAGTTGTGCTAAATGATTCGGATATCAAATCAGAAATTGATATTGACTGGAAAAATATTGTCGTTAAAGATGAAACCGACTTTCAGTCGGTTGCCAGTGACGATATGAATCGAAAAGATGTAAATGTGTCAAAGGAAAACTATATTTGTCCACTTTGTGATGAAAACTTTGCCAACAATTACCAACTACGTCAACATTTCGTTATTCACAATGGAGATGTATACATTTGTAAAGATTGCAAGAAAACgtttaagaaaattgaatatttatatacacATCGAAGAGTTCATACTGGCGAAAAACCATTTGCTTGTGATGTTTGTCGTGAATCATTTCATCGACGAAGTCAATTGAGATACCATAAACACACACACACCGACGAAAATCcgtacgtttgtgatgtttgtgataaaaaatttgcaaaacaaAATGATTTGATTATTCATAAAAGAATTCATACAGGCGAAAAACCATACGCTTGTGATGTTTGTGATAAAAGATTTTATCGAACGACTCTCTTAAAAATCCACAAGGCGACGCACTTGGGCGAGAAGAAGttcgtttgtgatgtttgtaATAAGTCGTTTACTAGCGGATACAATCTAAAGTCGCATAAGTTGCGGCATACGGGTGTGGTAAcacacgtttgtgatgtttgtaataaatcattttatgGATATCCCGATTTCCGTAAACATAGAATGGCACACAATGCACGTAAGCCACAtgtgtgtgatgtttgtgATAAAGCATTTACTAGATCCAGTCATTTGATTATTCATAAAAGAATTCATACAGGCGAAAAACCctatgtttgtgatgtttgtagtaagtactGTAAATCATGTGTTGTTTTCCCTCATAATATATGCTACAACCATGAATCTTTTGTTCAATCGTCAACTTTAAAAGTACATAAACTAAAGCATACAGAGAAACCACGGTGTGAAATTTGCAatgTAACACGGTCATCTCCCGGCAATTTAAAATCACATATTAAACGATGCCACCCTAATGaagttatgaaataa
Protein Sequence
MFTLLEVQRCLICSKETDQMILLNQTWNGWEAITLENALQYLQFPSIANMEIDGHVLCVVCVAKVQICYKLKMKCYQIEKDLEISSESTSCERSIGSTVLPINNVIPRSTHVEIIKVNSSENDNLEVITKREDIFPPMSSTMNHSPTNPQVNIGKGIVGNISTENYNFQEEDSHEIAQIKEEINVEHLETNLAHSEIKPQMPVVLNDSDIKSEIDIDWKNIVVKDETDFQSVASDDMNRKDVNVSKENYICPLCDENFANNYQLRQHFVIHNGDVYICKDCKKTFKKIEYLYTHRRVHTGEKPFACDVCRESFHRRSQLRYHKHTHTDENPYVCDVCDKKFAKQNDLIIHKRIHTGEKPYACDVCDKRFYRTTLLKIHKATHLGEKKFVCDVCNKSFTSGYNLKSHKLRHTGVVTHVCDVCNKSFYGYPDFRKHRMAHNARKPHVCDVCDKAFTRSSHLIIHKRIHTGEKPYVCDVCSKYCKSCVVFPHNICYNHESFVQSSTLKVHKLKHTEKPRCEICNVTRSSPGNLKSHIKRCHPNEVMK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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