Basic Information

Gene Symbol
-
Assembly
GCA_963556235.1
Location
OY744559.1:1303738-1307040[+]

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 12 7e-05 0.0075 17.4 3.2 1 23 183 205 183 205 0.95
2 12 5.8e-06 0.00062 20.8 0.5 2 23 210 231 209 231 0.97
3 12 2.7e-07 2.8e-05 25.0 3.0 1 23 237 259 237 259 0.97
4 12 4.1e-06 0.00044 21.2 4.4 3 23 267 287 265 287 0.96
5 12 2e-05 0.0021 19.1 0.3 3 23 295 315 293 315 0.96
6 12 0.00019 0.021 16.0 4.2 1 23 321 343 321 343 0.97
7 12 4.8e-07 5.1e-05 24.2 0.2 1 23 349 371 349 371 0.99
8 12 3.1e-05 0.0033 18.5 3.1 1 23 377 399 377 399 0.99
9 12 1.2e-05 0.0013 19.8 0.0 1 23 405 427 405 427 0.99
10 12 9e-05 0.0096 17.0 6.1 1 23 433 455 433 455 0.98
11 12 5.2e-05 0.0056 17.8 2.2 1 23 461 483 461 483 0.98
12 12 0.00015 0.016 16.4 0.1 1 23 489 511 489 511 0.95

Sequence Information

Coding Sequence
ATGTCtgaagaaaaaatcaaaataacagTTTTGGATAAACTATGCCGGACTTGTTTGTCAGAAAAACAAGAGTCTGATTTACGATGTGCATTtgataattcaataaatatccAACTTTTCGAAATAACTGCTGTTAATATTGAATTAAATGATGAATGGCCTAATAATATTTGTACTGAttgtttgttttctttaaaattggcGGTTAATTTTAAGACATTAGTACAGAAATCTGAAGCTCAGTTGAAAAATGCTTTCGATCCAAGTGAAGcgattatttataaatcaattaCGATATTGGAAAACAATTTGGATTCAAATACTGTGCAAGAGAATGGAATTTTAACAGGATTTCAACTGCTTAACAATGATAAGATTTGCATAGAAATCAAAAAGAACCGCCAAATAGAAACCATAGAAGTACGAAATGAATCTGCCGATGAAGAGGAGGAAATAAATACTAGCAGAGAACATgagacaaaaattgacaaagaGTTGGACGTATTGGTTAACAATAAACCAGATTCTGAAAATAATGCGGCAGAATTTAAGTGCCAGGAATGTggtaaatgttttaaattggAGAGTGGATTAAGAACGCATTCAGTTAAACATGGCAAAAAACTACAATGCGAAGTATGTGGAAAAGAGTTTAATATGATGAAGCTTCTTAACCAACACATGCGATCCCATGTTGACTACAAACCACACATATGTAAAATATGCAACAAATCATTCTCATTAGCAACCAGCCTTACTAAACATATGCGAACACACGGTGGCGATCGCAAACATCTTTGCACAACTTGTGGTAAGCGATTCTACGAGCAGGGCCATCTTACGGTACACATGCGAACTCACACTGGAGAGAAACCAATAATTTGCACCATTTGCGGAAAAGGCTTCTCGGATCCCCATGGACTCTCGACACATAACAAAGTCCATTCAGGTGAACGAAAACACGAGTGTCGGTATTGTGGCAAAAAGTTCGGCCATTCATTTGTATTAAAAGCGCATACTCGCATTCATACCGGCGAGCGGCCATATGTATGCTCAATGTGCGGGGCCGCGTTTGTTACGTCTTCGTATTTAACTATTCATACGCGCACTCACACGCAAGAACGTCCTTATAAATGCCAAACTTGTACGAAATCATTTATAAGCAAATGCGCTTTGGCTGCTCATAATCGAACGCACACTGGCGAAAAGAAGTTTCAATGTGCGGTTTGCGGTAAACGTGCGGGTCGTGCGGCTGATTTACAAATTCACATGCGATCGCATACTGGTGAAAAGCCGTATTGTTGCGATCAATGTCCGAAACGGTACCACACATCGAGCAATTTGGCTACACATAAACGGACGCATACCGGTATTCGTAATCATGTGTGTTCGATTTGCGGGAAAGCATTCGGTGATCCGAGAACTTTAAAGTGCCATTTGCGGACACATACTGGCGAGAAACCGTATTTGTGTTTAGTTTGTGGGGTTCGATACACGCAATCTGGTCAGTTGGCTGCACATAGGAAAATTCATCAGAATGTTtcttga
Protein Sequence
MSEEKIKITVLDKLCRTCLSEKQESDLRCAFDNSINIQLFEITAVNIELNDEWPNNICTDCLFSLKLAVNFKTLVQKSEAQLKNAFDPSEAIIYKSITILENNLDSNTVQENGILTGFQLLNNDKICIEIKKNRQIETIEVRNESADEEEEINTSREHETKIDKELDVLVNNKPDSENNAAEFKCQECGKCFKLESGLRTHSVKHGKKLQCEVCGKEFNMMKLLNQHMRSHVDYKPHICKICNKSFSLATSLTKHMRTHGGDRKHLCTTCGKRFYEQGHLTVHMRTHTGEKPIICTICGKGFSDPHGLSTHNKVHSGERKHECRYCGKKFGHSFVLKAHTRIHTGERPYVCSMCGAAFVTSSYLTIHTRTHTQERPYKCQTCTKSFISKCALAAHNRTHTGEKKFQCAVCGKRAGRAADLQIHMRSHTGEKPYCCDQCPKRYHTSSNLATHKRTHTGIRNHVCSICGKAFGDPRTLKCHLRTHTGEKPYLCLVCGVRYTQSGQLAAHRKIHQNVS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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