Basic Information

Gene Symbol
-
Assembly
GCA_033063855.1
Location
CP093831.1:7336603-7338354[-]

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 13 0.81 34 5.1 0.7 9 21 138 150 136 151 0.90
2 13 1e-05 0.00043 20.6 2.1 1 23 148 170 148 170 0.98
3 13 0.6 25 5.5 0.6 1 23 177 201 177 201 0.93
4 13 1.4e-05 0.00057 20.2 0.6 1 23 214 236 214 236 0.98
5 13 1.5e-06 6.1e-05 23.2 3.3 1 23 245 267 245 267 0.99
6 13 0.00022 0.009 16.4 4.0 1 23 273 295 273 295 0.98
7 13 3.2e-06 0.00013 22.2 4.4 1 23 301 323 301 323 0.97
8 13 6e-08 2.5e-06 27.6 1.0 1 23 329 351 329 351 0.95
9 13 0.047 1.9 9.0 2.5 1 23 357 379 357 379 0.97
10 13 0.00033 0.014 15.8 2.6 1 23 385 408 385 408 0.98
11 13 0.00014 0.0059 17.0 3.6 1 23 414 436 414 436 0.98
12 13 0.0003 0.012 16.0 0.2 1 23 442 466 442 466 0.96
13 13 0.00021 0.0087 16.4 1.1 1 23 472 494 472 494 0.98

Sequence Information

Coding Sequence
ATGGATTTCGAAGTGCAAAAAGTTTGTAGAGTTTGTTTAAGAGAAACTGAAGACCTTCAACCTTTATTTGAGTATCAATTTGAGTCCGTACCAATCGTTGATatattaaaaaaagtttgctaTGACATATTACCGCAAAACAACTGTGACGGATTGccaaataaactttgcttAGCTTGCATAGAAGTTCTATGTTCAGCTCATAAGCTCAATCAAACATGTGTCGCCACTGACAAAAAGCTAATGACTTTAATGCAATTAAATGGAATATTtgttaaagaagaaattgactTGGATGTGAAGTTGGAAGTGAATTTaaacgaagaagatgaagttaTCAAAGACTGCATAGCAGATTATCCTGATGATGAGACTGACGAGGAAGCCGACGAGAGTTCagacgaaaaaaatgtttttaagaCGAAAACAAAGCTGAAGAAACATCAATGTTCAACTTGcttgaaagcatttgaaAAACCATCAAAGCTAAGAAGACACATACAAACTCATGATGTAAACAAGAAGCCGTTTGCGTGCGAGCATGAAGGGTGCTTTCAGCGGTTCCTAACTGAAGCGTCGCTTAAACGCCATGGGATTATGCACAGTGGAATGACTGTCAAATTGGCCGTCGATAAGACATTCGAATGTgtgatttgttttaaacatttctccgTTCAAGAAGCTTTAGCTTCTCACATGAGAATTCACAAAGAAGTTATGGAAAATCTGGAATTTAAATGTAATCTTTGCGACAAAGTATTTAAGAAGCTAAATGACTTAACGAGACACAAGAGGCGTCATCCCGAAAACAAGAACCACAAGTGTTTAATGTgcagcaaaatgttttcgcaaGGATCGCATTTGATTGACCACTTGAACAGACATAACAATCTAAAGCCGCATATTTGTCACATTTGCAATAAGGCTTTTCAACAGTCATCAACACTCAAGGATCATCTTCGAACACATACAActgaaaaaccttttctctGCTCGGAATGCGGCAAGTCCTTTAACAATCCTTCAAATCTACGTCAACATGTTAAGCGTCATCtaaatttgaaagaattcgCTTGTCATTTATGTCCTGGAAAATATACTTGCAAAGCGAGCTTGGAGTCTCACATAAGATCGCATTCCGGACTAAGGCCTCACCAATGTGAGCTGTGCAGTTCAACATTTACCAAAGGAAGCTCTCTGAAAAAACACGTCCGCACCATACACGAAGGAATCAAACCGTTCGAATGCGAGGCTTGCTCGATGAGATTCAACTCCAACGAacaTTTAAAAAGACATTTCCGAACCCATACTGGAGAGAAACCGTACATTTGTGATTTTGAGGGTTGCGACAGAGCTTACGCACAATCCAATGACTTGATGAAGCATAAAAAAATCCATGTTGGCGAATTAGTTCATAAATGTACGCTTTGTCCTGAGGCTTTCAGACTTCTTGCTCAACTTCGTAGTCACTATAAAGTTCATTATGCTAATGAAGAGCAGCCTGAAGAGTTCAAAAACGAACTTAACTAa
Protein Sequence
MDFEVQKVCRVCLRETEDLQPLFEYQFESVPIVDILKKVCYDILPQNNCDGLPNKLCLACIEVLCSAHKLNQTCVATDKKLMTLMQLNGIFVKEEIDLDVKLEVNLNEEDEVIKDCIADYPDDETDEEADESSDEKNVFKTKTKLKKHQCSTCLKAFEKPSKLRRHIQTHDVNKKPFACEHEGCFQRFLTEASLKRHGIMHSGMTVKLAVDKTFECVICFKHFSVQEALASHMRIHKEVMENLEFKCNLCDKVFKKLNDLTRHKRRHPENKNHKCLMCSKMFSQGSHLIDHLNRHNNLKPHICHICNKAFQQSSTLKDHLRTHTTEKPFLCSECGKSFNNPSNLRQHVKRHLNLKEFACHLCPGKYTCKASLESHIRSHSGLRPHQCELCSSTFTKGSSLKKHVRTIHEGIKPFECEACSMRFNSNEHLKRHFRTHTGEKPYICDFEGCDRAYAQSNDLMKHKKIHVGELVHKCTLCPEAFRLLAQLRSHYKVHYANEEQPEEFKNELN

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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