Basic Information

Gene Symbol
-
Assembly
GCA_035578155.1
Location
JAPWDM010000030.1:1237765-1241352[+]

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 0.091 4.9 9.2 0.5 1 19 91 109 91 113 0.93
2 14 0.00046 0.025 16.4 4.4 1 23 119 141 119 141 0.98
3 14 3e-06 0.00016 23.3 5.4 2 23 145 166 144 166 0.97
4 14 5.3e-05 0.0029 19.3 1.4 1 23 172 194 172 194 0.97
5 14 1.5e-05 0.00084 21.0 0.6 1 23 200 222 200 222 0.98
6 14 0.00023 0.013 17.3 1.9 1 23 228 250 228 250 0.98
7 14 7.8e-06 0.00043 22.0 1.1 1 23 256 278 256 278 0.98
8 14 1.6e-05 0.00085 21.0 0.8 1 23 282 304 282 304 0.99
9 14 0.00024 0.013 17.3 0.7 2 23 312 333 311 333 0.96
10 14 8.7e-06 0.00048 21.8 0.5 1 23 337 359 337 359 0.98
11 14 0.012 0.65 11.9 1.6 1 23 365 387 365 387 0.98
12 14 0.015 0.8 11.7 6.3 1 23 392 414 392 414 0.97
13 14 0.18 9.5 8.3 4.3 1 23 418 440 418 440 0.97
14 14 1e-05 0.00057 21.6 4.4 1 23 446 469 446 469 0.97

Sequence Information

Coding Sequence
atgataaaaactGAACCAAACAACGAATTGGATTATAACCACGACAAATCTTTTAGCAATCTGAAAAAACAAAACTTCAAAGAGgaatTACATCAAATTGAAAACGGCAAAGTACAACTAGAAAATTTGATGTTCGAAAAAACCAAAAACTCTTCGACAAACATCGAGCAAATTTTCTTACCAGAAATCAAAACTGAATGTTACGAAACAAATCACGAAACAAATTACGAAATATTTCACGTAAATGTGAACGGCCACGAACAAAAGCGATTCGAATGTATTATTTGTTCGAAAATACTCACGAGTTCGAGTCATTTAAAGCAACACGACGTAGTGCACACTGCCACACGAATGTTTCAATGCGACACATGTTcaaaaacttttatcaaattaaatcatttaaaatcgCACGAAAAATCGCATCGAAATCTACAGTGTAATGTGTGCTCGAAAACATTCAGTCGTAAACATAATCTTGTACATCATCAACGAATTCATAGTGGCGAGCAACCGTTTAAGTGTAACGTGTGCtcgaaaacatttactcaaATAACTACGTTGAAACAACACGAATTGATACATACCGGTGAAAGACCGTATCAGTGTGACACGTGCCTTAAAACATTTACCCAATCAGGTgcattaaaaaaacatgaattaATACATGGCGTTTCAAAAGCGTATCAGTGTGATACATGTTCGAAAACGTTTGCGTTTCGATTCAAACTCAAAGAACACGTACAGATTCACACCCAGGAAAATCCATTCCGATGTAAAATATGTTCGAAAACTTTTAACAACGCATATAATGTGCGCGCGCACGAATTAACCCATTCGAAACCGTTCAAATGTGATACGTGCGATAAAAGTTTTGCCGCCGCGTACAAATTGAAAGAACATGAACGAACGCACACGGGTGAAGAGAAACCGCAACCGTGCCATACctgttcaaaaattttcccgACCGCAAGTGCATTAAGATATCACGAATTAACTCATTCAAAGCCGTTTCCGTGTGACATGTGTGATAAAAAGTTTTCCACCGTGACTGCGTTAAAAGAACATGAACGAACACATACTGGCGAGCGACCGTTCAAGTGTCGAACATGCGCGAAAACATTTGCTCAAGTTGGTAGCCGACGACGGCATGAAAAGATGCACAGGGGTGAAGAATTCGCGTGTACCACGTGTTCGAAAATATTTCACACTGCGCATGGCTTGAAACAACATCACAAGATACATACGGACTATTTTCAGTGTAAAACGTGtttgaaaagttttaattgTGCGGTAACTTTTAAACGTCACGAAAATATTCATACCGGTGAAAATATGTATCAGTGTGATACGTGTTTTAAAAAGTTTACATACTCGTCGAGTTTACGCCGGCATCAAAGAGATTTTCATAGTGggaataaatcaaaaagttccGATAACTTCTTCGACGTGCAGACGCAAGAGAATAAggaaatattgtcaatttaa
Protein Sequence
MIKTEPNNELDYNHDKSFSNLKKQNFKEELHQIENGKVQLENLMFEKTKNSSTNIEQIFLPEIKTECYETNHETNYEIFHVNVNGHEQKRFECIICSKILTSSSHLKQHDVVHTATRMFQCDTCSKTFIKLNHLKSHEKSHRNLQCNVCSKTFSRKHNLVHHQRIHSGEQPFKCNVCSKTFTQITTLKQHELIHTGERPYQCDTCLKTFTQSGALKKHELIHGVSKAYQCDTCSKTFAFRFKLKEHVQIHTQENPFRCKICSKTFNNAYNVRAHELTHSKPFKCDTCDKSFAAAYKLKEHERTHTGEEKPQPCHTCSKIFPTASALRYHELTHSKPFPCDMCDKKFSTVTALKEHERTHTGERPFKCRTCAKTFAQVGSRRRHEKMHRGEEFACTTCSKIFHTAHGLKQHHKIHTDYFQCKTCLKSFNCAVTFKRHENIHTGENMYQCDTCFKKFTYSSSLRRHQRDFHSGNKSKSSDNFFDVQTQENKEILSI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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