Basic Information

Gene Symbol
-
Assembly
GCA_949820665.1
Location
OX463321.1:6672168-6680311[+]

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 0.029 3.2 9.6 0.7 2 23 33 55 32 55 0.93
2 14 0.0047 0.51 12.1 1.2 1 23 61 83 61 83 0.98
3 14 1.4 1.5e+02 4.3 5.8 1 23 89 111 89 111 0.97
4 14 0.017 1.8 10.4 0.0 1 21 116 136 116 137 0.95
5 14 3.2 3.5e+02 3.2 0.0 3 23 168 189 168 189 0.92
6 14 4.2 4.6e+02 2.8 0.2 2 23 196 217 195 217 0.89
7 14 0.25 27 6.7 0.3 2 23 224 244 224 244 0.95
8 14 1.4 1.5e+02 4.4 0.1 2 20 251 269 250 271 0.92
9 14 0.018 2 10.3 1.4 2 23 287 308 286 308 0.93
10 14 1.9e-06 0.0002 22.8 1.8 3 23 318 338 316 338 0.97
11 14 0.0024 0.26 13.0 2.2 3 23 345 365 344 365 0.98
12 14 3.8e-08 4.2e-06 28.1 0.7 1 23 371 393 371 393 0.98
13 14 2.7e-05 0.003 19.2 1.0 1 23 399 421 399 421 0.98
14 14 0.00051 0.056 15.2 4.2 1 23 427 450 427 450 0.97

Sequence Information

Coding Sequence
ATgccaaaaaatacatcaggaaaGAAGGAAgctataatagaaaataaaaataacttagatATTGAACCAAACTATAGCTGGACAGATTATGATTGGATATGTACACATTGTGATGCAAAATTCAAGTCTATGCAGGAAGTCCGAGACCATTCCAAAATAGTGCACACAATCTGTTTTGGCTTCCGATGCACGGATTGTGAAGAAATGTTTAACTATTTCAACCCCTTCATTGAACATTTGAAAAAGCATAAACCAAGTTTAAGatatttttgtcatttctgCAACCACAAATCACGCAATGTATCAGAAACAACCAGTCACATGGTCTCTCATTGGTCAACCTCTTATATTTGCACATTGTGTGGTGAAATGCTACCAAACGTGGCTGCTTTAGAGCGCCATAAAAGGGCATATAAGAAGGTTCCATTACCCCAGAGGTGCTATAAGAAAAAGCCTAAGAAAGTGATTGGGGATAAGACGTGGATGGAATATGAATGGGGATGTCAGGATTGCGGCCTCCTTGTTGATAGTATCGCCGGACTCCGCGCACATTCCCGCGACGTCCACAACAAATGCTTCTCCATGAAGTGTGCGGATTGCCACCTCGTGCTTGCTATCTACAAACAGTTCATCGAACATGTCACAGCGCATAGGGGGTGGCTTAAAAACTATTGTCCATACTGCGATACCCGACTTAACGAAAGAGACATGGAAAGCCACGTTTCCACCCACATATCTGGTCTCCAGAAACCCTGCTTTGGCTGTGGCGACATATTTCCTGATAGTCTGAGCCTAACTGAACATAAGATCCATTACAACTCGCCTAGGCTCAGGGGAGTTACTGATGACGAGAGTTTAACTTGTGGGGTCTGTCACAAGAAGTTCCCAAATGGGTTTCAGATGAGGAACCATAAAGTGATTCATTACGAGTCTCGCGAAAGAGACCAGATTTGCCACACGTGCGGCAAAGCGTTCTTCGACGCGAAAACCCTGACGAACCACATCAGGACCCACTCCAACAAGACTGAGGCCTGCGAGATTTGCCACAAGTCGTTCCTCACTAAGCAGAGACTGAAGgTGCACATTACAACACATCTGGAGCTAAAGCAGTTCGTTTGCAACGAATGCGGCAAGAAGTTTAGGAGGAAAAGCCAGTTGGTTTTGCACATGGCGTCTCACAGTGACGCCTTACCGTTCCAGTGTGGTGCTTGTGGGAAGAGATTCAGATTGCAAAGCTATTTGAAAATACACGAGAGACAACATACAGGCATAAGGCCATACACTTGCGAAGTCTGCAGCGAAACATTCAATCACTGGGGCAACTGCAACCGCCATATGCTTCGAAAGCACGGACTCTCACTCGCCAAGACTAAAATCACGGCGCAGGGCAAACTTGACATTAACAGGGAGACTGGAGAAGCGAAAAAGATCGATATTGCTGGTACCGTGTCGGATTGGTGTCAGGAAATGCTCAAGCCGAAAAAGCGCGGGCGAAAGAAGAAAGTATCGTGA
Protein Sequence
MPKNTSGKKEAIIENKNNLDIEPNYSWTDYDWICTHCDAKFKSMQEVRDHSKIVHTICFGFRCTDCEEMFNYFNPFIEHLKKHKPSLRYFCHFCNHKSRNVSETTSHMVSHWSTSYICTLCGEMLPNVAALERHKRAYKKVPLPQRCYKKKPKKVIGDKTWMEYEWGCQDCGLLVDSIAGLRAHSRDVHNKCFSMKCADCHLVLAIYKQFIEHVTAHRGWLKNYCPYCDTRLNERDMESHVSTHISGLQKPCFGCGDIFPDSLSLTEHKIHYNSPRLRGVTDDESLTCGVCHKKFPNGFQMRNHKVIHYESRERDQICHTCGKAFFDAKTLTNHIRTHSNKTEACEICHKSFLTKQRLKVHITTHLELKQFVCNECGKKFRRKSQLVLHMASHSDALPFQCGACGKRFRLQSYLKIHERQHTGIRPYTCEVCSETFNHWGNCNRHMLRKHGLSLAKTKITAQGKLDINRETGEAKKIDIAGTVSDWCQEMLKPKKRGRKKKVS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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