Basic Information

Gene Symbol
-
Assembly
GCA_951804965.1
Location
OX638109.1:6831513-6834377[-]

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 11 0.00081 0.064 14.6 5.5 3 23 189 209 187 209 0.97
2 11 3.5e-06 0.00028 22.0 4.4 2 23 244 265 243 265 0.97
3 11 0.00068 0.053 14.8 0.8 1 23 271 293 271 293 0.98
4 11 2.2e-06 0.00017 22.7 5.9 1 23 299 321 299 321 0.98
5 11 5.4e-05 0.0042 18.3 0.2 1 23 327 349 327 349 0.98
6 11 7.1e-07 5.5e-05 24.2 1.1 1 23 355 377 355 377 0.98
7 11 2.1e-06 0.00016 22.8 4.9 1 23 383 405 383 405 0.97
8 11 0.00039 0.031 15.6 0.3 1 23 411 433 411 433 0.98
9 11 7.2e-05 0.0056 17.9 2.6 5 23 443 461 439 461 0.91
10 11 2.5e-06 0.00019 22.5 0.4 1 23 467 489 467 489 0.97
11 11 2.4e-07 1.9e-05 25.7 0.8 1 23 495 517 495 517 0.98

Sequence Information

Coding Sequence
ATGTCTATTTTCGACACCAGAGATCATGAAAATTGGACTCAAAATACAATTCTCTCTATCGAGAACCCGTGGTGCAGGGCATGTCTTGCTACCGATGTAAAAATGCACTGGATTGAAAACATCGATCTTCTTCAACTTTACGAAAAACTTACGAACGCCAAGATAGCTGAAGACACAAAGCCCAACAGACTCTGCTACATTTGCCTCTCACAGCTGCAGAAATGCCGAAGATTCTCAGATATGACGCTTAGGTCAGAGAAGATCCTTCGAGATTTCTTTTATGATGGCATTCAGGCAAATACAGTAGTCATCACACCAAAACAGGGAACAGGTCACAACTTGTCTATAACCGCTGTTAACACCATGTGCGTGAACGAACCGGATTTTGACAGTCCCAACATAAGTTACTACGAGGACGTCAAAGATGAcataactgttaaaatagaagAAGCTAATGAAGAAGAATTGGGAGATAATGAAACGACCGGTTTCTTAGAAGTAGGTGATATTCTTAAGAAAGACCAAAAAAAAgcgataaagaaaaaaaatgttgaagatAGTCACTGTCATGTTTGTAATGCAACATTTGACACAAAACACAAATTAGTTGTTCATATGAGACTCCACACAAGCGGAATCTCTTGCAAAATCTGTAAAATAAACTGTCAATGTAAACCGTCAGAGCAAACAACTCACACAGGAAAGACACAGATAGACCAAAACCCCCTTTCCTGCGACCAGTGCGGCAAAAACTTCAGCGATAAACATTGCCTGATTCGGCATATGAAAATACATACTGGTGTTAAACCGTATTCATGTGACAGATGCACCAACACGTTCATACGATTAGCCGACCTTAATTCGCATTTCAGAATTCACACCGGTGAAAAACCATTCTCTTGTAAAACATGCAATAAAACATTTAGCATGAAACATAATTTAACGCGTCACGCGCGAACTCACACCGGTGAAAAACCGTACGCTTGTAGTCAGTGCGAAAAAACGTTCACTGAAGAGGGCTCATTGGTCGTACACACTAGAATCCATACAGGCGAAAAACCTTTTACTTGTGACAGATGCAGCAAAGCATTTACAAAACTAAGCGACTTGAAAATACACATGCGGATTCACACCGGCGAAAAACCGTTTGCGTGTAACAGCTGCAACAAATCTTTTACAATGAAGCAGCACCTAAAACGTCATATAAGAACTCACAGCGGCGAAAAACCGTTCTCATGTGATAGGTGTAGTCGAGGATTAGCCAGTATAAGCGATTTAAAATCTCATATGCGAATCCATACCGGCGAAAAACCGTTTGCTTGCATCAGTTGCGATAAAACCTTTAGTGTCAAACATAACTTGACTAGACACACGCGGATTCACACCGGTGAAAAACCGTTTGCTTGCGATCGGTGCAGCAAAGCTTTTATAGGGTCGAGCGATCTTAAAAACCATATGCGTATGCACTCCGGAGAAAAACCTTTCTCTTGTACGTTATGCGAAAAAGCGTTTTCCGATAGAAGCAGTCTAAGTAAACATATTAGAATACATACTGGAAAAAACGCTTATAAATTATCGTAA
Protein Sequence
MSIFDTRDHENWTQNTILSIENPWCRACLATDVKMHWIENIDLLQLYEKLTNAKIAEDTKPNRLCYICLSQLQKCRRFSDMTLRSEKILRDFFYDGIQANTVVITPKQGTGHNLSITAVNTMCVNEPDFDSPNISYYEDVKDDITVKIEEANEEELGDNETTGFLEVGDILKKDQKKAIKKKNVEDSHCHVCNATFDTKHKLVVHMRLHTSGISCKICKINCQCKPSEQTTHTGKTQIDQNPLSCDQCGKNFSDKHCLIRHMKIHTGVKPYSCDRCTNTFIRLADLNSHFRIHTGEKPFSCKTCNKTFSMKHNLTRHARTHTGEKPYACSQCEKTFTEEGSLVVHTRIHTGEKPFTCDRCSKAFTKLSDLKIHMRIHTGEKPFACNSCNKSFTMKQHLKRHIRTHSGEKPFSCDRCSRGLASISDLKSHMRIHTGEKPFACISCDKTFSVKHNLTRHTRIHTGEKPFACDRCSKAFIGSSDLKNHMRMHSGEKPFSCTLCEKAFSDRSSLSKHIRIHTGKNAYKLS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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