Basic Information

Gene Symbol
-
Assembly
GCA_951217065.1
Location
OX578272.1:90049712-90053794[+]

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 17 0.0018 0.39 12.9 0.1 2 23 34 55 33 55 0.97
2 17 0.0048 1 11.6 3.6 1 23 61 84 61 84 0.89
3 17 0.00015 0.031 16.4 0.5 3 23 89 110 87 110 0.94
4 17 0.12 26 7.2 0.1 2 21 119 138 118 139 0.89
5 17 0.00037 0.078 15.1 1.1 3 23 149 169 147 169 0.95
6 17 9e-05 0.019 17.0 2.6 1 23 175 197 175 197 0.97
7 17 0.00038 0.08 15.1 2.6 1 23 203 225 203 225 0.95
8 17 6 1.3e+03 1.8 5.5 3 22 233 252 231 252 0.92
9 17 0.48 1e+02 5.3 2.3 1 23 668 691 668 691 0.97
10 17 0.2 43 6.5 0.4 2 23 716 737 715 737 0.91
11 17 0.17 35 6.7 3.4 1 23 745 769 745 769 0.93
12 17 0.007 1.5 11.1 1.6 2 23 774 795 773 795 0.97
13 17 0.00097 0.2 13.8 0.3 2 22 807 827 806 827 0.93
14 17 0.00067 0.14 14.3 0.4 1 23 835 857 835 857 0.94
15 17 1.6e-05 0.0034 19.4 1.4 1 23 863 886 863 886 0.97
16 17 0.00015 0.031 16.3 0.1 1 23 892 914 892 914 0.98
17 17 0.0025 0.53 12.5 1.6 1 21 920 940 920 941 0.95

Sequence Information

Coding Sequence
ATGTCTGATAATAAAATGGAACCTAAAAAAGAGAATGATGctGAAAGCGTCTCTACAATAATGGTTCAAATAACTACAGACAAAACTGGTCCCAAACTAGTTTGTCCAATATGTAGTAAAGCTCTGATTTCGCTCAATGGTTATGTGAAGCACATGAAAAAACACCAGCCCCCTGGCGGTTATTTATGTAGTTATTGTGACGAACGTTTTTGTCTCGCTGACCACCTTGAGAAACACAAGGATGAAAAACATAAGACCCTTGCATGTCGAATATGTCATGAAACATTTGATTCTCCTGAAAATTATCGCAACCACATTAACCAGATTCACCAAGGCATCGATCGGCAAATGATAAAATGTGACAAATGTGGCATGGAATTTAAGGCTGCTCAAGCCGCTAAAAGGCATAAAGAGACACAATGTGGTGTTATCAAGCCACACCTATGTGATCAATGTCCAATggcattttatacaaaatataatctAGCCGAGCACAAGAAAATTCATACCGGAGAGAAAAAATTCTGCTGCAGTTACTGTGGTAAGAGCTTTATGAACAAAGGACGACTAGTGATACACGAGAGGAGTCATACAGGGGAGAAGCCCTATAAATGCGATGTTTGCGGAAAATGTTTTGCTCATCGTGAAAGCATCGTTACCCATTCCTCAATTCATACAGGAGTCAAGTTGGTTGTTTGTAAGTGCTGTGGATCAAGATTCTCTTGTCATTCAAATCTTATCAAACATAGACGAACGAGACCGGAAACTTGTGGTCTGCCAATTTATAATTCTACTTTAAAGACAAAACGAAATGGAAATTCAAGAATTCCTCCTGGACTAATGGCGTCAGAGATAAAAATTGTTCGAGCAAGCAAAGTTATAAAACCCAATGAAGAGCAAAAGAAGCCCAAAGTAACCAGTTGCTACGAAGACGAAAAGAAACCCAAGGTTGACAGGACAAAAGCGAAAATTAAGAAACCTAAATCTGAATCAGAGGGCGAAGAAGTAATCGTAGCAAGACCACGTCTAGGTCGTCGAACAAAAAAACTCGCTTCTATAGAAGAAGTCGATGTTTCAAGAACTGAACAACCTTTGAGAGACTTTGATTCTGAGAAAGATTGTGATGATCCTTCATTTGAAAAGTTAATGCTCTCAGATAGTTCTTTTGGAAGTAAAAAACCAATTGTCAAGGCCGAGTCTACAGACAAAATCCTAATTGACGTTCCGCTTAAAAccgaagaagaacaaaaaaccGAAGATTTCTTTAGTGATGAGCAAAGGAAGCCTACTGTACCCATGCCCAGGGCAAACATTAAAAAACCTAACTCTGAATCAGAAGACGAAGATTTAATCGTTGTACGACCACGTCTAGGTCTTCGCCTAAAAGAACCCGCAGCTATAGAAAAAGTCGATGTTTCAAGATCTAAATCACCTCTAATGGACTTTGATTCCGACAATGATTGTGATGATCCATCATTTGATAATACGATGTACTCAGATGATTCTTCTGACAGCGAAAAACCACTTGTCAAGTCTGAGTGTAGGGACAACATCCTATTTGACATTCCGCTTAAAACTGAAGAAGAACAAATAGATAACTCTTTTAGTGATCCGGATCAAATTCTAAATATGTTTTTAGCAGAAGCAACTTACGACGTCAAAGACGAACCTCATTCAACGGATGTGAAAGAAGAATCTGAAGATAAGAAAGATGATTCAATATTTAATCCCTATAAAGTAGAACATGAagataaaaacgaaaataaaattccaacTAAGAGAACTAGGAAAAGAAAATCCGATTTAGTTCATGATAATACGAATAATGCAGATTTGGGAGTTTCAGAAAGTCCAACCAAAAGAACAAGGAAACGAAAAACCGATTTGGTTCATGAAGACCCAACTGATAATACGAACCCTACAGATTCAGAACGTCCTTCAAAAAGACGTCAACGTTCGTCATTGCGGCACAAACTAAGGTTCTTCAAAAAAGATCGAGTATATGACTGCAAATTTTGCGTTAAAGTTTATCATATTAGAAAACCTTACGAGAAACATCTGCGAGTTCAACATAAAATAGCCGAAAAAGAGCTGCAAGAGTTGTTTGGGGAAGAAGATAATGATATTCCAGAAAACTATGTCCTACGCTGCCCAATTTGTTCGAAGGTCTATTTGATGGCTAAAAGACTGCAGACTCACATCACTTTTCATGGTACTGATGGAAGTTTGGTTCACAAATGTCCCTGCTACTGTAATATCTATTTTCGCACGAAAGAAGAAGCAATGGAACATGCCAAAGAAAAGCATAAGGAAGTTTTATACTGTAATATCTGCGACAGGTACTCACAGACACCAGAGTCCTTCAAGACTCACAAAAAGACACACTTTGAGGCGAGAAAGCAAATAATTCGCAATTTAATTTGTGATAAGTGTGCAAAGTCTTTCGCAAGTCGGACATCTTTGAACGATCATACAAGATCGAATTGTGGTAAAGATCCCCTATATCAGTGTGAACTTTGTGATAAAAAGTTCAGCACTGCTGGAATTTTGAAGACGCATTCCTTACTACATAAGGACGAAACACCTTATGCATGTGATACATGTGGaaagacttttaaaattaaagctcAATACAAAACTCATATAAAAATGAAGCATACTGATAAGAAGCCTTTTCAATGTGCGCTCTGCCCTAAGGCATATCCCTATCGAGAAAGTCTTTTGACACACATGACCGTTCACACAGGACTAAAACGTTATTCATGTAATGGATGCAGTAAACGTTTTACTTGTATTTCAAATCTGCAAGCTCATAGAAAAGTCTATGCAGATACTTGTGGAGTTCATCCGTTGAACTCAAAACCAAGTACTTATTTGGGAGTACAAAAAGGAACGCTTCTTATGGGGTTAAAGCCTTCTTTTTAG
Protein Sequence
MSDNKMEPKKENDAESVSTIMVQITTDKTGPKLVCPICSKALISLNGYVKHMKKHQPPGGYLCSYCDERFCLADHLEKHKDEKHKTLACRICHETFDSPENYRNHINQIHQGIDRQMIKCDKCGMEFKAAQAAKRHKETQCGVIKPHLCDQCPMAFYTKYNLAEHKKIHTGEKKFCCSYCGKSFMNKGRLVIHERSHTGEKPYKCDVCGKCFAHRESIVTHSSIHTGVKLVVCKCCGSRFSCHSNLIKHRRTRPETCGLPIYNSTLKTKRNGNSRIPPGLMASEIKIVRASKVIKPNEEQKKPKVTSCYEDEKKPKVDRTKAKIKKPKSESEGEEVIVARPRLGRRTKKLASIEEVDVSRTEQPLRDFDSEKDCDDPSFEKLMLSDSSFGSKKPIVKAESTDKILIDVPLKTEEEQKTEDFFSDEQRKPTVPMPRANIKKPNSESEDEDLIVVRPRLGLRLKEPAAIEKVDVSRSKSPLMDFDSDNDCDDPSFDNTMYSDDSSDSEKPLVKSECRDNILFDIPLKTEEEQIDNSFSDPDQILNMFLAEATYDVKDEPHSTDVKEESEDKKDDSIFNPYKVEHEDKNENKIPTKRTRKRKSDLVHDNTNNADLGVSESPTKRTRKRKTDLVHEDPTDNTNPTDSERPSKRRQRSSLRHKLRFFKKDRVYDCKFCVKVYHIRKPYEKHLRVQHKIAEKELQELFGEEDNDIPENYVLRCPICSKVYLMAKRLQTHITFHGTDGSLVHKCPCYCNIYFRTKEEAMEHAKEKHKEVLYCNICDRYSQTPESFKTHKKTHFEARKQIIRNLICDKCAKSFASRTSLNDHTRSNCGKDPLYQCELCDKKFSTAGILKTHSLLHKDETPYACDTCGKTFKIKAQYKTHIKMKHTDKKPFQCALCPKAYPYRESLLTHMTVHTGLKRYSCNGCSKRFTCISNLQAHRKVYADTCGVHPLNSKPSTYLGVQKGTLLMGLKPSF

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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