Basic Information

Gene Symbol
-
Assembly
GCA_951805265.1
Location
OX638208.1:9494368-9495948[+]

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 8 5.5e+02 1.5 4.8 1 21 54 74 54 75 0.91
2 12 0.00092 0.063 13.9 0.7 1 23 163 186 163 186 0.94
3 12 0.00032 0.022 15.4 1.5 1 23 195 218 195 218 0.95
4 12 0.0077 0.53 11.0 4.4 1 23 227 250 227 250 0.97
5 12 0.00063 0.043 14.4 1.6 1 23 270 293 270 293 0.94
6 12 0.00021 0.015 15.9 1.2 1 23 302 325 302 325 0.97
7 12 0.033 2.3 9.0 0.4 1 23 334 357 334 357 0.94
8 12 1.8e-06 0.00012 22.5 2.9 1 23 366 389 366 389 0.98
9 12 0.0022 0.15 12.7 0.2 1 23 398 421 398 421 0.94
10 12 0.00056 0.038 14.6 0.4 1 23 430 453 430 453 0.94
11 12 0.0086 0.59 10.8 0.3 1 23 462 485 462 485 0.94
12 12 0.00099 0.067 13.8 1.2 1 23 494 517 494 517 0.95

Sequence Information

Coding Sequence
ATGGCCCTTTTAAGTTCAAATTCTTGTATGATTAAATACCACTGCACACATTGTCCCTTCGAATCTCGATGGGAGTTCGCCCTTGCCAACCACGTGAAGCAGCATCACCAAGAGCCAATTGCATGGGAACTTTTCAGTTGTGCAGCTGAAATTGAATCTTATCGATGTAATGTTTGCAATTACGAAACGgaatttcaactttgtttataTCAACATCGCTGCAGCTGTCTGCCACGTGAAAGTGTACAACCTAGTGAAACTCAATTTATTAAGGAAGAACCGTTGGATATTAAAGCTGAAGTAATTGAGTTGGATGAAACCAAGAATCAATGTCTTCAGTGTGGGTTACTCTCATattcgaaactttttttattgaaacatttgGAGAGTTGTGAAAAGAGAGTACAAAATGAAGCAGTTTTTGGGTATCAGGCCAGGAAACGGTTTCAAATCACACAATACCCAGTTGGTATCGACATTAGATTGTTTAAATGTTCTGATTGTGATTATAAAGCAAAACTGAAGGGTAACCTCAAAatgcatcaaattgcaagacatgcTTCTgccactgacattcagtggtttgaatgtcctgattgtgaatataaaacgaacagaaaaaattatttgaaggaACATCAAGTTAGAAAACACTCAGCTGCCTccgacattcagtggtttgagtGCCACTATTGTAAATATAAGGCGAAAGCGAAGTACGATTTAAAACAACATCAGATTAAAAAACACATTTCTGGGTATCAGACTAGGAAACGGTATCAAATTACACAATATCCAATTAGATGGTTTAAGTGTCTctattgtgaatataaagtaAAAACGAAGAACGgcctcaaacgacatcaaattgcaagacatactgctgataCTGACATCAAGTGGTTTaagtgtcccgattgtgaatataaagcgaagaaGAAAGCCGACttcaagcgacatcaaattataaaacatACTGCCGActctgacattcagtggtttgaatgtcccaattgcgaatataaagcaaaggaGAAAAGAGACatcaagcgacatcaaattgcaaggcATACTGCTGctactgacattcagtggtttaaatgtccgGATTGTGATTATAAAACAACACAGAAGAGCAActtcaaacaacatcaaattacaaaacatactgctgccactgacattcaatggtttgaatgtcccgattgtgaatataaagcgaagaaGAGAGGCGGTCTCAagcaacatcaaattgcaaaacatactgctgacactgacattcagtggtttgaatgtcctgattgtgaatataaatcgAAAGTGAAGATCAGtctcaaacgacatcaaattgcaaaacatactgctgacactgacattgaGTGGTTTAAGTGCCCCAGTTGTGAATATCAAGCGAAGGAGAGAGGGGACCTgaagcgacatcaaattggtAGACATACTGCTAaaactgacattcagtggtttgaatgtcccgattgtgaatataaagcgaaaatGAGGGGCCatctcaaacaacatcaaaatgCAAGACATAGGACTGTTGTCACCGACAATGTGATTTAA
Protein Sequence
MALLSSNSCMIKYHCTHCPFESRWEFALANHVKQHHQEPIAWELFSCAAEIESYRCNVCNYETEFQLCLYQHRCSCLPRESVQPSETQFIKEEPLDIKAEVIELDETKNQCLQCGLLSYSKLFLLKHLESCEKRVQNEAVFGYQARKRFQITQYPVGIDIRLFKCSDCDYKAKLKGNLKMHQIARHASATDIQWFECPDCEYKTNRKNYLKEHQVRKHSAASDIQWFECHYCKYKAKAKYDLKQHQIKKHISGYQTRKRYQITQYPIRWFKCLYCEYKVKTKNGLKRHQIARHTADTDIKWFKCPDCEYKAKKKADFKRHQIIKHTADSDIQWFECPNCEYKAKEKRDIKRHQIARHTAATDIQWFKCPDCDYKTTQKSNFKQHQITKHTAATDIQWFECPDCEYKAKKRGGLKQHQIAKHTADTDIQWFECPDCEYKSKVKISLKRHQIAKHTADTDIEWFKCPSCEYQAKERGDLKRHQIGRHTAKTDIQWFECPDCEYKAKMRGHLKQHQNARHRTVVTDNVI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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