Basic Information

Gene Symbol
-
Assembly
GCA_905147225.1
Location
LR990123.1:9007512-9015281[+]

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 0.11 11 7.6 2.4 1 23 135 157 135 158 0.94
2 11 3.4 3.4e+02 2.9 0.0 2 12 201 211 200 214 0.86
3 11 0.61 61 5.3 0.0 1 22 241 262 241 262 0.92
4 11 0.0011 0.11 13.9 0.5 2 23 292 316 291 316 0.92
5 11 0.096 9.6 7.8 0.1 3 21 338 356 336 357 0.93
6 11 0.0029 0.29 12.6 3.3 1 23 369 391 369 391 0.98
7 11 2.9e-07 2.9e-05 25.2 0.9 1 23 398 420 398 420 0.98
8 11 0.00075 0.075 14.4 0.2 1 23 426 448 426 448 0.98
9 11 0.0023 0.23 12.9 0.1 1 23 454 476 454 476 0.97
10 11 7.6e-05 0.0076 17.6 0.1 1 23 482 504 482 504 0.98
11 11 2.5e-06 0.00025 22.2 0.9 1 23 510 533 510 533 0.97

Sequence Information

Coding Sequence
atgatgtttgaTCCACCAGATTACTCTTACAAGGAATTTTCGGAAACATACGACTTACTTTTCAATAGTGAAGCAGAAAATGTACAACACAATAACTTTACTAAAAACACTTCGGAGCAACTCATCTCTACACCAACACCAAATCAtgaagaaaatcagttttgcgtTAATTCAAATGATTCTGGAAGATTTTTCAATATCGACAGTACTTTTTTATTTCAAGAAAACTGTTCAAACAATCAGCAAAACTCAGAATTATATGTAGTCCAGCCGGAGAATCTTTTTAATTTCGAGCCCACATTACTGGACGATAATACTGTGAACCAGTTTCTATTACCATTAGAAAATACGTCGGATTTATCTGAGaATCTGGACAGTGCTGGGCCTGATTTATTGGCATTGCACTCGTGCGTAATATGCCATGACATATTTACTACAGAAGTCGATCTTTTGGATCACACTATATCTCATCATGCAGAGAGCTCGGAGGCTATGGAGACTATAGCAAGTCACCCAGAAAACAGTATGTTACCAATAGATGGAAGCCTAAAGCTTGGAGAATCAGCAAGCaacaatgaaaattttgaaactGAATGGCTGGTGTGCAAAATATGTCAACGCGTGCTTTCCACAGCCTTGGAAGTCGAACCCACTGAACAACTGTGCTGCATTTCCGGCGACAATAAATGCAGTATAACATCACGCAAATTGTACACCATGTACGTTTGCGAATACTGCAGTGGTTTATTTGCCGACGGAGATGCACTTGACAAACACAGGCTGACGTGTTTCATAGCAGACGAAAATAATTACTACCGTGATCAAAATGATAACCGCAATTTAAGCGACAGCGTACTAACCAGTTCAGAGATATATTGTCCTTGGGATATTTGCAAAAAACAATGTTCCACTAAGGAAGagttaaaaatacacgtgatggaATATCATAATTCACAGCCAAGAAATACTAGGCGTCTTTACAGAAACAGTAATAGCAATAAAATGTGGAATTGCGGCTCTTGTAATCAACTTTTCGCAACAGCCAGAGAATTGTATCGTCACAAACGGGGTGAAGATCGTCCCCAAGGTGTTCCGTTGATGGCGTACGTCTGCGAAGAATGCAGCAAAGTTTTCGGCAGTATGTGTGCGTTACATACACACAAGAAAATGCACAAAGTCACTAAACCAGGGTTCCCGTGTCGTGTATGCGGTCGCAGGTTCAATCAGTCTGGTCACTTGGCCATACATATGAGGATGCACACCGGCGAGCGACCTTACCCTTGCGATCTTTGTCCTAAGGCCTTCAAAGTCAAGGTGGAGCGTGACGATCATCGACGTACACACACCGGGGAGCGTCCCTTCGCGTGCACAGCTTGCCCCAAGACGTTCACTGCTGCGGCACGCTTGCGTGAACACGCACGAATTCACACAGACCAAagGCCATATCGTTGCGATATTTGTGGTGCAGCATTCAGAAGACCGTACGCCCGCACTGTGCATACCCTCATCCATACTGGAGAAAAACCACATGAGTGTGATATATGTGGCACTGCCTTCAGacGATCCGGTGATATGTGGAAACACAAGCGAACTCTCCACGGTGTACAAGCAGTAAATCTTGAAACAGAaccaaagaaataa
Protein Sequence
MMFDPPDYSYKEFSETYDLLFNSEAENVQHNNFTKNTSEQLISTPTPNHEENQFCVNSNDSGRFFNIDSTFLFQENCSNNQQNSELYVVQPENLFNFEPTLLDDNTVNQFLLPLENTSDLSENLDSAGPDLLALHSCVICHDIFTTEVDLLDHTISHHAESSEAMETIASHPENSMLPIDGSLKLGESASNNENFETEWLVCKICQRVLSTALEVEPTEQLCCISGDNKCSITSRKLYTMYVCEYCSGLFADGDALDKHRLTCFIADENNYYRDQNDNRNLSDSVLTSSEIYCPWDICKKQCSTKEELKIHVMEYHNSQPRNTRRLYRNSNSNKMWNCGSCNQLFATARELYRHKRGEDRPQGVPLMAYVCEECSKVFGSMCALHTHKKMHKVTKPGFPCRVCGRRFNQSGHLAIHMRMHTGERPYPCDLCPKAFKVKVERDDHRRTHTGERPFACTACPKTFTAAARLREHARIHTDQRPYRCDICGAAFRRPYARTVHTLIHTGEKPHECDICGTAFRRSGDMWKHKRTLHGVQAVNLETEPKK*

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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