Basic Information

Gene Symbol
-
Assembly
GCA_000775305.1
Location
Belgica.875:9797-11964[+]

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 10 9.5e-06 0.00039 20.0 3.9 1 23 213 235 213 235 0.97
2 10 3.1e-06 0.00013 21.5 1.2 2 23 241 263 240 263 0.94
3 10 2.9e-05 0.0012 18.5 0.1 1 23 269 294 269 294 0.91
4 10 6.8e-05 0.0028 17.3 3.1 3 21 304 322 303 323 0.94
5 10 7.7e-07 3.2e-05 23.5 0.4 3 23 333 354 331 354 0.95
6 10 1.3e-06 5.2e-05 22.8 0.3 1 23 360 382 360 382 0.96
7 10 3.3e-05 0.0014 18.3 0.8 1 23 388 410 388 410 0.98
8 10 1.3e-06 5.2e-05 22.8 0.8 3 23 418 438 416 438 0.96
9 10 4.3e-07 1.7e-05 24.3 1.5 1 23 444 466 444 466 0.99
10 10 4.1e-05 0.0017 18.0 3.3 1 23 471 494 471 494 0.98

Sequence Information

Coding Sequence
ATGGAAGAAGACGAGTTATCCGTCGAGAGGATTTGCAGAACTTGCTTGAGCACCAGTACCGGTCCGTTGGAGCTGATGTACAGCGAGGTGGAAGACTCCAACTACGCGAAAATGCTGTTTGAAACCTTCGGAAAAATTcTGCCCGATTCCGAGGATCTGCAGCACCGGATCTGCTTAGATTGCGAAGAGATTATTAGGAAAGCCCACGAATTCAAGCAGAAAGTGCGGATTGCGAATGAAACGCTTCTTGGGACCGAAGAATCGTCTTCGCATGACAAAAACACTCAAACCGATCCACCTGCAAGCAAAAAAAGCAAAGCGGCTGTGCCGATCCGGAATGATGTCATTCAATTCGACGACGAGAACTTCGACAGCATCAACCTGCAAGCCGAAGAGAGTATTTTCGACGGCTTGAATCCACTGCTCGACATCAACGCTGCAACTGTGTCCAACTCAGTGAAGGTGAAAAGTGAACAAGTTGGCGTGTCTGACGATGACTACGAGTCTGGCAATGGCGAGGATGACGACTCAACGATGGTCGagatcaaagaagaaaacgaagacttGGTGTGCGATGTCAACCCGTTCAGCGGTGGCGATGACAGCCAGGACAAGAACGACTCAACGTATAAAGTTCACAAATGCGGCCAGTGCAGCAAAGTATTCTCAAGAGCCACTCACCTTAAGCGGCACGAGCTCATCCACGAAGAAGGCAAGCTTCAATGCACAATCTGCGATAAACGCTTCACGAGGCTCGATCACCTCAACCTGCACGTTGCCAGCAACCACTCAGAGACGAAGCCGTTCGAATGCGCTGTGCCCGAGTGCAAGAAGGGCTTCGTTCGACAAGAACAACTCAAACGGCACATAGAAGCTAAGCACAGCGACGCAACTAAACAAAAAGAGTGCTGTGGCATTTGCCAGAAGACTTTTACATCGAAAAAATATCTCCGGATGCACATGAAGTCGTGCAATGGCAACGGGAACGGCCTAGCCTGCAAGTACTGCGGAAAAGATTTCAGCGACAAGACTGAACTCAACGATCACATGTCGAAGGAACATCAAAACGAAAAACCGTACCTGTGTTCAGaatGCGGACTGAGGTTCGTTCGCAATGATTATTTAGTGATCCACATGCGGCGACATATGGGAGTGAAGCCTTATAAATgcagattttgtgaaaaaggTTTCCCAAGAGCTACCGATCTCACCGTCCATGAGCGCTACCACACCAACGAAAAGACTCATTTGTGCAATCTTTGTGGCAAGGgCTTCCAGCGGGCTTACAATCTCTTAGTCCACATGAGAGTTCACACAGGTGAAAAGCCGTATCAATGCAGTTTCtgcaacaaaagcttctctCAGGGCAACGACTTGAAGGCTCATATCCGGCGACACACTGGCGAAAGGTTCAAATGCGAGATCTGCAACGAAGGCTTTATCCAGGGTTATCATCTTACACATCATAAGCGTACGGTACATGGACTGGATGTAAAATCACATATAAGAAGAGTCGAGAAGTTTGTAGCGCCGACGACATCGAGTCAAGACCCGTCGGAAGAACAAATCATCGAGGAAGAAGGCGAAGAGGTGAAAATGGAAGCCGATTATCAGTTCCCTTCAAATTAG
Protein Sequence
MEEDELSVERICRTCLSTSTGPLELMYSEVEDSNYAKMLFETFGKILPDSEDLQHRICLDCEEIIRKAHEFKQKVRIANETLLGTEESSSHDKNTQTDPPASKKSKAAVPIRNDVIQFDDENFDSINLQAEESIFDGLNPLLDINAATVSNSVKVKSEQVGVSDDDYESGNGEDDDSTMVEIKEENEDLVCDVNPFSGGDDSQDKNDSTYKVHKCGQCSKVFSRATHLKRHELIHEEGKLQCTICDKRFTRLDHLNLHVASNHSETKPFECAVPECKKGFVRQEQLKRHIEAKHSDATKQKECCGICQKTFTSKKYLRMHMKSCNGNGNGLACKYCGKDFSDKTELNDHMSKEHQNEKPYLCSECGLRFVRNDYLVIHMRRHMGVKPYKCRFCEKGFPRATDLTVHERYHTNEKTHLCNLCGKGFQRAYNLLVHMRVHTGEKPYQCSFCNKSFSQGNDLKAHIRRHTGERFKCEICNEGFIQGYHLTHHKRTVHGLDVKSHIRRVEKFVAPTTSSQDPSEEQIIEEEGEEVKMEADYQFPSN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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