Basic Information

Gene Symbol
-
Assembly
GCA_034769895.1
Location
CM068370.1:19755316-19762676[+]

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 15 2.1 2.8e+03 3.1 0.8 3 23 85 105 83 105 0.95
2 15 0.18 2.3e+02 6.5 1.9 1 23 556 579 556 579 0.91
3 15 0.011 14 10.3 0.5 2 23 620 642 619 642 0.95
4 15 0.056 74 8.1 0.8 3 23 651 672 650 672 0.95
5 15 0.00022 0.29 15.6 1.6 2 23 675 696 674 696 0.97
6 15 0.00011 0.14 16.6 1.9 1 23 702 724 702 724 0.96
7 15 5.5e-06 0.0073 20.7 3.7 1 23 730 753 730 753 0.96
8 15 0.67 8.9e+02 4.7 2.2 5 23 766 784 764 784 0.95
9 15 0.0049 6.5 11.4 3.9 5 23 793 812 790 812 0.92
10 15 0.0091 12 10.5 1.6 2 23 828 849 827 849 0.96
11 15 0.00099 1.3 13.6 1.3 1 20 855 874 855 877 0.92
12 15 0.029 39 8.9 3.4 1 23 885 907 885 907 0.98
13 15 0.00073 0.97 14.0 5.6 1 23 913 935 913 935 0.98
14 15 0.00012 0.16 16.4 3.6 1 23 941 963 941 963 0.98
15 15 0.0099 13 10.4 9.1 1 23 969 991 969 992 0.96

Sequence Information

Coding Sequence
ATGGGCTGTTGGCGAGTACGAAACTGGGGCCAGCTTAGCGTCACCACGCGAGACTTCCATTTTTATTGCGTCTTTGAAAACTGGTTTGAGGCGGACTTCCATACCTCGTCCTGCCCTGGAGCCTGGAAACTTTTCGTTGTTGTTCGGGTGATTCACTGGAACTCAATTAGCGACATTCCTCGCCTTATATGGAAAGTGAAAACACCTGCATCAGCCATGAATAGTCCCAGTCCAGCTCCTGGACAGGTATGCTGTCCTGTGTGCACACTTTTCCTCCGTGAAGGAATGACGTTACAGACACATCTGTACACGCATCCAGTTGACCAGGTCATAGATGCGCTGGTGCGAGTATCATTGAACCAGGCTCAGCAAGCACCAGTGCCTGTAGCCAGCAGTCACTACACAGCGATAACGTATCAGCAGTTTCTCAGTTCGACAACAAGCATTCCATCCGTTGAACCAAATCTTATGTTGCTTAATCCGTCTGTAGTCTCACCGCAGTTTGTTGACACACCTCCACCACTTCTCCAGGCACCTTTTCAAAATGTTTTACGATCTTCGATGTCTGTACTACCATATAATTACTGTACAAGTAATCAGCAACCTACCAGTAATAATACAAGTATTAGTTCTACTGTCACTGGTAGCATtagtagtaataacaataacaataataatactatcAGTaataatagggaggtaattaatGATAGTAATGGCAACAATAGGGTTGAAAGTGAACAACACGAACATCAGGATAGTTTTTCAGTTATTACTCCAAGTTGTCAGGAGCCCACAGTCATATCAGGTAGTGCGAATGAAGGTGGCTTAAATCAGCTGGAAGATTCAGAAAATTGTAGAGCAGATTGCACAGAAACCCAGCCTGAAGACGATTTCTGTCCTGAAACGCCTAAATCTCAACATAACGATTCAGATGAAGAAGTCGAGTGTGAAGAAGAAAGGACTGAATTTGTAGATACTTATGTTTGTTGTGACAATAATATTGGCACAGTAATTTCAGACAGTCAGCGCCTAATAGAAAATGATCCGAATTTAGAATATGATAGAGACTTTAGGTCAGAGGGTGGCTTCAATGAAGAACACCTAATATTTGACCAGCAGGGTCCCAGAGAGGAGACTGTATCCCCTGTATCGTCAGTAAGCAACTGGAGTTCAGGGTCTACATTGCGTGTCAGGAAAGATCTTAATGATAATAGCCATAATTCTCTATTCAACTACGAACGGACATCAGCTGATCCTTTAGAAATATCTTCGGAGGCTTTCAATGATAATGGTCCCAGATCAAACTCAGGCCTCCTAAATTTAGATACTCCGTTGTGTACAAGAGGATATAGTGTCAACGAACGCTTAGTAGAAGATCCTGAAGATTATATTGAAAACAAAGATGAAAATTCAGATCAGAGTCCACCACTGAATATACATAGCGATGAGTTAATGCCACCAAGGGGTGAACTTTCTGGCCAAGAAAGCCTTGGAGCTACTGAAAACTCCGTATGGGAGATGCAGGCTGTAGTTCGTGAGAAATCTCCAGAAATGCCTACATCATATCAGCTGTTAGAAAGAGGAAGGTGGGAAGTTTCTGTCAGCTCAAACAATGAATTAAGTACAGCAGCAAGGCCGGCAGAGAAGCGACCGAGTGTTGTATATAAATGCTTGCAGTGTGATGAAAGTTTCAAGTGTCCAAAAGAGAGAAGAGTACATGTTTCTTCTGTTCACCAGAACAAACGTACACTAGTGAAAAAAGAAGAACCTCTTCGGTCATTGTCACCAAACAAATTTGATCCGCTCTTTGTGAAACAAGAAGTGGCTCGAGTGAAGACTGAACCCAATTGTAAGACCTGTCAAGACTGTGGCCTGGAGCTGCCTACGATAAAGGAACTGAAGAAACACAGAAAGGAACAGCATCAGGATAAAAAAGCAAACAGAATTTGTACGACGTGTCATGAATATTTTCCAGACACCAAACTTTATAGATTACATATAGCTAAAGTACATCCTTTGGAATGTGTCGACTGTGGAAAGTGTTTCTTGTCAAGACCAAATTTAACTCTCCATCAGAAACGACATCTTAAAGTGAAACCATATCATTGCAGTGTTTGTGATAAGTCGTTTATCACTCGGCAGAAACTGACGGAACATGAAAACGGTCATTCCGGTAACGCACCATATAAATGTACACTTTGTGACAGAACTTTTAAGCGTTATTCAAATTTAATACAGCACAAAAATTATTaccatttaaaattaaaaaagaaacttaaaGATTATTTTTGTCATTGTGGTGAAGTGTTCCATTCTGTGAAAAAACTAGAGTGGCATAAAGAAATCCATGAACAGAAACCAAAACACTGTATTTACTGTAGCGAAAAATTTATACACAGTGCAAGTCTGACGCGGCATATACGGCGCTCTCACGATAATGAATATTTACCGGACACAAAAGTTAAAATGGAAAACGTTCAGTGCCCGATATGTCATCAGGTGTACTTAAAAACTTCGCTGGCGAGTCACATGCGTCACATACACAGTGGCGAGAAGAAGTTCTCGTGTACCACGTGTGCAAAAGAATTCACTACCAAGTGGAATCTGCAGTTACACAAGTGGACCCACGCTTCCCGAACTAGTAAACCTTTTAAATGCAAACTCTGTAAAGCGGCGTTTTTCCATATAAAGGACTATCAGGCTCACAACAGGTCTCATCGCAATATACGACCGTACACATGCAATCATTGCGGACAGCAGTTTATACGTAAATACAATTGCATTCGTCACGTTAGAGAACACGAAATTTCCAAGTCTTTCAGCTGTCAAGTCTGTAGTAAACTGTTTCACAGAAGTTATTACTTAACGGAACATATGAGAGTTCACACTGGCGTCAAACCTTATTCATGTCATATTTGTTCTAAAACGTCTAGTACTAAATCCAACCACAACAAACATGTAAAAACCCATCATGCTCGTGAACCTTTGAACACTGAAGGTTAG
Protein Sequence
MGCWRVRNWGQLSVTTRDFHFYCVFENWFEADFHTSSCPGAWKLFVVVRVIHWNSISDIPRLIWKVKTPASAMNSPSPAPGQVCCPVCTLFLREGMTLQTHLYTHPVDQVIDALVRVSLNQAQQAPVPVASSHYTAITYQQFLSSTTSIPSVEPNLMLLNPSVVSPQFVDTPPPLLQAPFQNVLRSSMSVLPYNYCTSNQQPTSNNTSISSTVTGSISSNNNNNNNTISNNREVINDSNGNNRVESEQHEHQDSFSVITPSCQEPTVISGSANEGGLNQLEDSENCRADCTETQPEDDFCPETPKSQHNDSDEEVECEEERTEFVDTYVCCDNNIGTVISDSQRLIENDPNLEYDRDFRSEGGFNEEHLIFDQQGPREETVSPVSSVSNWSSGSTLRVRKDLNDNSHNSLFNYERTSADPLEISSEAFNDNGPRSNSGLLNLDTPLCTRGYSVNERLVEDPEDYIENKDENSDQSPPLNIHSDELMPPRGELSGQESLGATENSVWEMQAVVREKSPEMPTSYQLLERGRWEVSVSSNNELSTAARPAEKRPSVVYKCLQCDESFKCPKERRVHVSSVHQNKRTLVKKEEPLRSLSPNKFDPLFVKQEVARVKTEPNCKTCQDCGLELPTIKELKKHRKEQHQDKKANRICTTCHEYFPDTKLYRLHIAKVHPLECVDCGKCFLSRPNLTLHQKRHLKVKPYHCSVCDKSFITRQKLTEHENGHSGNAPYKCTLCDRTFKRYSNLIQHKNYYHLKLKKKLKDYFCHCGEVFHSVKKLEWHKEIHEQKPKHCIYCSEKFIHSASLTRHIRRSHDNEYLPDTKVKMENVQCPICHQVYLKTSLASHMRHIHSGEKKFSCTTCAKEFTTKWNLQLHKWTHASRTSKPFKCKLCKAAFFHIKDYQAHNRSHRNIRPYTCNHCGQQFIRKYNCIRHVREHEISKSFSCQVCSKLFHRSYYLTEHMRVHTGVKPYSCHICSKTSSTKSNHNKHVKTHHAREPLNTEG

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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