Basic Information

Gene Symbol
TFIIIA
Assembly
GCA_027574865.2
Location
JAODAH020043185.1:1-2578[+]

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 0.72 68 4.6 0.4 1 21 99 119 99 120 0.94
2 11 0.053 5 8.2 0.2 3 23 155 177 153 177 0.87
3 11 0.54 51 5.0 1.7 2 20 216 236 215 239 0.87
4 11 0.36 34 5.6 3.9 1 11 247 257 247 270 0.80
5 11 0.17 17 6.5 2.6 1 23 277 300 277 300 0.96
6 11 6.7e-06 0.00064 20.4 0.8 1 23 308 330 308 330 0.94
7 11 0.0026 0.25 12.3 0.2 2 23 344 366 343 366 0.94
8 11 0.00016 0.015 16.1 2.0 1 23 372 394 372 394 0.97
9 11 0.00099 0.094 13.6 2.7 1 23 400 422 400 422 0.98
10 11 0.0073 0.69 10.9 3.5 1 23 428 451 428 451 0.98
11 11 0.11 10 7.2 0.7 1 23 458 480 458 480 0.97

Sequence Information

Coding Sequence
GCACAAACCGAATATTTAGAgactgatttaaataaaatagaagagaACGCAGACTTTCCTATAGAAATTCCAGGTAAAGGTTTCCTAACATCTTCAGGGTTATTCCTTTCAAATGACGTACTACTTCAATTGAATCAACAAAATGGTGAAACTCCAAATAAAGCaggaattgaaattttgtcgCAATATGTTTTGAAACGTAATGAAATTAAGCCCTTGGAGTCACATAATAAACCGAAAATTATATCAAGTGAGGAAAATGAGTTCAGcggtttaattgaaattgtttcagTACATAAATGTAAGAACTGTTCAAGTTTGTTTGAACGGTACGAGGATATTGTTGAACATATACGGTTAActtgtaagaaaaaatttaatgccaGTCCGAGGATACAAAAAACTATTTCGTTGTTGAACaaggatgaaaataaaaagccggtggttaaaaatatttttttgtgtgggaTGTGTGACAATGTCGGATATGAAAATCttgagaatttaaagaaacatatGTTAGTGaaacATAATTTAACGTATACAGAAAATGGAgagaaaattgagaaaacggatgcaaataaaacaacgaaagcattttttcaaaaaattgtaaataaattacaaacagaAGGGCGGAAAGTTAAgtgTTTGATTAAAGGATGTGATCTCAGGTTTTCACGTGTAGAACTTATGATGCGCCACCACGAATGTCACGTAAATGGTGAAcgcaaaaaattcaaatgtcctgaatgtgataaaatattttttatttggaggttatgtagTACACATATGTGGAAATGCCACAAAATTGATATCGGCTTATTCACTTGTAATTtctgcaataattttaaaagcctATCACCTCataatttactAATTCATATGAGTACTCACGACTCTGATAAATTGAAACCTTTTTTATGTGCAATTTGTGGAAAGGATTTCAAGCAGCTTTCACATTTAAAGAATCACGAAATTGTTCATGATGAAAAAAGACaagtTTCTGGATGGATGTCGAAAATTGTCTGCTCTACTTGTAATAGAGTTTTTGCTAacactaaaattttgaaaaagcatATCCAAGCTGtacataacaaatttaagCCATTTATCTGCAATATTTGTGGACATCAATGTGCAAGGAAAGCAATGCTAGAACTGCATCTTAGGCAACATACTGGAGAGAAGCCTTACCAATGTGCAATCTGCGATTACAAAACTGGAGATCATAATTCTTTGAGGAGACATAAAAATCGACATTATGGGACCACAAATTATTCTTGTCCTCATTGTGAATACCAAACAATTCAAAGCATCACTTTTAAGACGCATTTAAAACGAAAACATCCTGGAAAAGATGGTATTTATAGTTGTAAAGTATGCACATTTGATACTGTGAATGAACAACTCTATAATGACCATTTAAAAGAGCACAGTGTTAATATATCAAATGatgctAGTTTAAAATCACAAACTGAGAACAATTCTGAAATTAGTATTGAAAACAAAGTGCCAAATATAGAAGATGAAGAGACGCAACCTGGATTATTTTCTTCGGATCATATGGAAGATATGGCCGTTGATACTGGTGGGATTACAATTCCAGCTGAATCTGAAATACACATTTGA
Protein Sequence
AQTEYLETDLNKIEENADFPIEIPGKGFLTSSGLFLSNDVLLQLNQQNGETPNKAGIEILSQYVLKRNEIKPLESHNKPKIISSEENEFSGLIEIVSVHKCKNCSSLFERYEDIVEHIRLTCKKKFNASPRIQKTISLLNKDENKKPVVKNIFLCGMCDNVGYENLENLKKHMLVKHNLTYTENGEKIEKTDANKTTKAFFQKIVNKLQTEGRKVKCLIKGCDLRFSRVELMMRHHECHVNGERKKFKCPECDKIFFIWRLCSTHMWKCHKIDIGLFTCNFCNNFKSLSPHNLLIHMSTHDSDKLKPFLCAICGKDFKQLSHLKNHEIVHDEKRQVSGWMSKIVCSTCNRVFANTKILKKHIQAVHNKFKPFICNICGHQCARKAMLELHLRQHTGEKPYQCAICDYKTGDHNSLRRHKNRHYGTTNYSCPHCEYQTIQSITFKTHLKRKHPGKDGIYSCKVCTFDTVNEQLYNDHLKEHSVNISNDASLKSQTENNSEISIENKVPNIEDEETQPGLFSSDHMEDMAVDTGGITIPAESEIHI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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