Basic Information

Gene Symbol
-
Assembly
GCA_001014845.1
Location
JXPH01007007.1:1-4018[+]

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 14 0.0092 0.38 11.5 1.0 1 23 18 40 18 40 0.89
2 14 0.00015 0.0061 17.1 1.3 2 23 50 72 49 72 0.90
3 14 0.0037 0.15 12.7 2.7 2 23 79 101 79 101 0.94
4 14 0.0003 0.013 16.1 0.9 1 23 105 127 105 127 0.98
5 14 1.7e-05 0.00072 20.0 0.1 1 23 170 192 170 192 0.98
6 14 0.0011 0.047 14.4 1.4 1 23 200 223 200 223 0.95
7 14 0.00012 0.0049 17.4 5.0 3 23 232 253 230 253 0.96
8 14 1.1e-05 0.00046 20.7 0.1 2 23 258 279 257 279 0.96
9 14 0.017 0.72 10.6 4.4 1 23 285 308 285 308 0.98
10 14 0.00045 0.019 15.6 1.9 1 23 346 368 346 368 0.96
11 14 4.7e-07 2e-05 25.0 0.9 2 23 378 400 377 400 0.95
12 14 0.0015 0.063 13.9 1.2 3 23 409 430 408 430 0.91
13 14 7.7e-05 0.0032 18.0 0.4 1 23 434 456 434 456 0.98
14 14 0.00073 0.031 14.9 3.5 1 23 462 485 462 485 0.97

Sequence Information

Coding Sequence
TACAGTGATTTTGCACTGAAAGTCCACATGAGGGGTTCTCACAAGCAGATTTTTGTTTGCGAAATCTGTTCAAAGGTTTACAAGACTCCAGTCCAGTTCAGATTTCATAAGGAGCAACACGATAAATCATTGATTAAACCTCGAGTTGTCTGTAGTCTATGTGGCAAAAGTTACAAAAGGAAATGTAGATTGAATCGCCATATTGTAGCAGAGCATGGCGAAGTTAAGGAAGCAGAATGTAATATTTGTTAcaaagtatataaaaataaagaacgcCTTTATCGTCACAAACATTCTGTTCACAGCCATTCTTATCCGTGTACAATTTGCAATCGCACATTTAGTATTAAGCGAAGAATGATAGAACATATGACGACACATACAGGCCAAACTCTGTACGGTTGCGAATTTTGTCCAGAGAGATTTGGGTTTGGGTCACTTCGTGTTGTTCATCGATATTCACACAGACAACTACAAATGCATGATCGTTCAGCACACGGAGAGATTTTCGTTTGTGAAATATGCTCCAAAGTGTACAAAGGTAGAGCTCAGCTCAATATTCATATGGCTGTTCACGATAAGTCATTGCGTGTCTTACACGCTTGTGATATTTGTGGAAAGCTttaCAGAAGTAAAACAAGCATCATTCGTCACAAGAAAATGGATCATGTGACGCACAAACAAGACGTAAATTGTACAGTTTGTAATAAGCATTTCAGAAATAATGTGCATTTGAAAAACCACACGAATAAAGTGCATCGAAATAGTTTACCTTGCTCAGTctgtggaaaagtatttacaatgGCGAATAAGTTGAAGGAGCACATGAGCATACACACGGGCGAGATATTGTTCAAATGTCggttttgttcagaaaaattcaaattttctccaACACTTTACACGCATTTGAAAAAACAACATGAAAAAGAATGGGATGCTGTAAAAGctgaaaaaattaagagtggAAATAGagaaatgttATTTAACAAATTACAATTGAAGATTCATACAAAAGTGAAGCACGGAGAGAATCATGTTTGCGAAATCTGTTCCAAAATATACAGAAGTAAAACTTTTCTCCAATATCACATGGAAGAACATGATAAATCTTTGGTGCCGCCGAGATCTGTTTGCCAGATTTGTGGAAAGACTTACAAAAGAAAGAGTAAATTACTACGCCACATGGACATGGACCATTCAGCAGAAGATAAAAATGTTGATTGTGATGTTTGCGGTAAAACCTTTAAGCATAAAGTACTTCTGGATGGACATAAATATAAAGTGCATCGAAATGCGTTCCCATGCTCAGTATGTGGAAGGATTTTTAAAGTTCAGCTACGTTTGAAGGAACATATGAGCACGCATACTAaagagattttatatttttgcgaATTTTGTTCTGagagttttcaattttcatctacCTTATACAGACATATGCAGAAATACCACGGACAAGACTGGAAAATCGTAAAAGAAGCGAGAATGctggcaaaataa
Protein Sequence
YSDFALKVHMRGSHKQIFVCEICSKVYKTPVQFRFHKEQHDKSLIKPRVVCSLCGKSYKRKCRLNRHIVAEHGEVKEAECNICYKVYKNKERLYRHKHSVHSHSYPCTICNRTFSIKRRMIEHMTTHTGQTLYGCEFCPERFGFGSLRVVHRYSHRQLQMHDRSAHGEIFVCEICSKVYKGRAQLNIHMAVHDKSLRVLHACDICGKLYRSKTSIIRHKKMDHVTHKQDVNCTVCNKHFRNNVHLKNHTNKVHRNSLPCSVCGKVFTMANKLKEHMSIHTGEILFKCRFCSEKFKFSPTLYTHLKKQHEKEWDAVKAEKIKSGNREMLFNKLQLKIHTKVKHGENHVCEICSKIYRSKTFLQYHMEEHDKSLVPPRSVCQICGKTYKRKSKLLRHMDMDHSAEDKNVDCDVCGKTFKHKVLLDGHKYKVHRNAFPCSVCGRIFKVQLRLKEHMSTHTKEILYFCEFCSESFQFSSTLYRHMQKYHGQDWKIVKEARMLAK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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