Basic Information

Gene Symbol
-
Assembly
GCA_963675555.1
Location
OY776680.1:79966492-79988689[+]

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 0.051 9.5 9.0 6.1 1 23 306 328 306 328 0.97
2 15 0.025 4.7 10.0 0.2 1 23 337 359 337 359 0.98
3 15 0.62 1.2e+02 5.6 2.5 1 23 368 391 368 391 0.95
4 15 0.092 17 8.2 4.6 1 23 400 422 400 422 0.97
5 15 0.7 1.3e+02 5.4 4.7 2 23 432 453 431 453 0.97
6 15 0.0014 0.27 13.9 1.7 1 23 701 723 701 723 0.99
7 15 0.039 7.3 9.4 0.7 1 23 733 755 733 755 0.98
8 15 0.0075 1.4 11.6 0.6 1 23 764 787 764 787 0.96
9 15 2.4 4.5e+02 3.7 5.0 1 23 796 818 796 818 0.98
10 15 0.0012 0.21 14.2 1.5 1 23 827 849 827 849 0.98
11 15 6e-05 0.011 18.2 0.7 1 23 858 880 858 880 0.98
12 15 0.027 5 9.9 0.2 1 23 889 912 889 912 0.96
13 15 0.00014 0.025 17.1 2.4 1 23 919 941 919 941 0.99
14 15 0.00053 0.099 15.2 1.4 3 23 952 972 950 972 0.97
15 15 0.013 2.3 10.9 3.3 1 23 981 1003 981 1003 0.98

Sequence Information

Coding Sequence
ATGAACGAAAAAATTTGTAGACTTTGTCTTCAAACCGCAAATGGAAATGTTCAAGTGATAGGAGAACctgtgaaaaatattttaaaattaaatCTCAATATATCTGAAGAAGCTTTCATGTGTATCAATTGTGCAAATAACTTTCAAGTATTCTTGGATTTAAAATCAGCCTGTATTTGTATGAAGGAGAGGGCATTACTTTTAACCGACTTGAATAACGATGTTGATTTGGATCTTGTAAAAGTTGAAAATACAGATAACATAAAACCAGTTACAAGCCTCAAAGATGAAATGAGATGTAGTTTTTGCACAAAGAGAACTGGAGAAGTCTTTATTTCATTACTTGAATCGAAGGAAAATATGTTCATGGTGGATATGCTGGAGAAATATATTCCAGAAGTAAATTTGAGTCACACTGAAGAACTATTAACTTGCGAATCATGTCTTAATAGAACGCAACGTGTTTTTTGGTTTTTCAAGAAATGTTTAGATGTggaagagaaaataaataaatatattgagatAGAAGGAACGAATGATGAAGGTAAGATAGAATTACAAGATGTGCAACAATTTATATTCGAACCAACATTGAAATCTGAGTCTATAATAAGCGAATTAAAAGAGACCTAcaatcaaattctggaagattaCACTGTGAAAGCTGAAGCTGAAATAAAACAAGAGAAGGCAGTGGTTGACCTAGAACTAAGCATTAAAACAGCAGGTGTCGATATTAAATCAGAATATAGTGATTGTGCCAGCTTTCAAGAGCCAACTGCCGACATCAAGTTGGATAATGATCCTTTAGAGATACCACCATCCAAAGGTGAAATGCGTTCGTATAACacaaaatataaaggaaatatTAAGCATAATACCTTGATCCAAAAAAATTCCGAAGATGTCGCAGTGCATAAGTGTGAAATGTGTAcatatgaaacaaaatataaaaaatatcttaaacGACACAAATTGTCTCATAAAAGCCCTTCAGAGATCAGAAAGTTTAAATGCGGAATGTGTTCATTTGAAACAGATCGTAAAGATGCTCTTGCTGAACATGAATTGACACATAAAAGCCCCTCAGAGATAACAATGTTTAAATGTGAACTGTGTAAATTTGAGACAAAACGTAAACGAGATATTGGGAGGCACTTGTTGCACGTTCATAAAAAACCTTCAGAGATGACAATATACAAATGTGAATTCTGTACGTATGAGACAAAAAATAAGCAATACTTCATGAGGCACAAATTGAACCATAAGAGTCCGTCTGAAGTGACAATGACCAAGTGTAAATTGTGTGAATTTGAGACAAAATGTAAGTATTCCCTAAAGAAACACATGCTGATCCATAAAAATCCCTCGGAGaatatGGGCATATCTAAGAACATTGTGGCTTGTATGGAATGTACCAGTAACCTTCAAATCTTCCTTACTTTGAAATCGGTCTGTGGTGATATGAGGGAGAAGTCGCTACTTTTAGCTGAACTGAGTAACAATGTCACTTTAAATTCAGTAAATCCAAATCACCTAAAATCAGCTGGAGAAGCCAAAGATGAAATTAGTTGTAGTTTTTGTACAAAGTCGGTTGGACAAGAAATCCTTATACCATTACGAGAATCAAAGCAAAACATGTTCATGTTGGATATGTTGGACAAATATATTCCAGAATTGAATATTCGAAATACTGATGAATTTTTAACTTGCCAAACCTGCCTTAATGGACTGCAAAGTGTttcaaattttctaatgaatttttaCGATGTGGAAGAGAAAATAAGTGAATACATGGAAATTAAAGGAATTTATGGTAAAGAGCCGATAGACTTACAGGATGTACAACAATTTAGAATCGAacaaacattaaaatttgaaGGCCAAGTAAATGCATTAGGACAGACATATGATCAGAATCAAGAAAACTATACTATTAAAGTCGAAACTGAAATAGATTGTAAAATAGAAGTAGATGACATAAATCCAACTATTAAAACAGAAGATATTGATATTAAATCAGAACAAAGCGATTGTGATAGtATTCAAGAATCAACTACCGGTGTCAAATTGGATAATGATCCTTTAAGGTTACAACTATACAAATGCGAATTGTGCCCGTTTGAGACAAAGTACAATTCTAGTTTTAAGCGTCATGCCCTGACCCACAAGAAGTATTCCATAGACACGACATTGTATAAGTGCGAAATGTGCACTTATGAGACGATTAATAAGTACCGCCTGGACGATCACGTACTGACACATAAAAGTCGGTTTGATATAGAAATGTTTAAATGTGAATTGTGTGCATTTGAGACAAAACGCAAACCTGGTCTTAAGAGGCATATGTTTGTTGTTCATGCAAATATCCCAGAAGTAAAGTCCTATAAATGTGAAATGTGTACATACGTAACAAAATGTAAGCTGTATCTTAACCGACATAAATTGTCCCATAAAAGTTTATCGGAGGTAACAATATTCAAATGTGAGATGTGCTCTTACAAGACAAAACTTAAGGGTTCCCTTAGGACACACATGTTGATCCACAAAAGTCCTTCAGAGGTGAAGATGTACAAGTGTGACGATTGTACATATGAAACAAATCGCAAGAGTTCTCTGATGAGTCACATATTGATACATAAAGACCCATCAGAAATGACAATGTTCAAATGTGGATTGTGCACGTTTGAGGCAAAGCGGAAGGGAGAACTTAATCAGCACGTGTTGATTGTCCACAAAAATCCTTCAATTCTTTATAAATGCGATTCCTGTACATACAAAACGAAACGTAACGATTATCTCAATCGACACATGTTAGTTCATAGAAGCCCGACAGAAGTGACAATGTTCGGGTGTGAAATATGTGAATTTAAGACAAAACGTAAATATAATCTTAAGACACATATGTTGCTCCATAAAATTCCCTCAGAGCTAACACTGTATGAGTGTGAAACTTGCACATTTAAGACGAAATTTAAAACTAATCTCAACAAGCATaaattaattcacaaataa
Protein Sequence
MNEKICRLCLQTANGNVQVIGEPVKNILKLNLNISEEAFMCINCANNFQVFLDLKSACICMKERALLLTDLNNDVDLDLVKVENTDNIKPVTSLKDEMRCSFCTKRTGEVFISLLESKENMFMVDMLEKYIPEVNLSHTEELLTCESCLNRTQRVFWFFKKCLDVEEKINKYIEIEGTNDEGKIELQDVQQFIFEPTLKSESIISELKETYNQILEDYTVKAEAEIKQEKAVVDLELSIKTAGVDIKSEYSDCASFQEPTADIKLDNDPLEIPPSKGEMRSYNTKYKGNIKHNTLIQKNSEDVAVHKCEMCTYETKYKKYLKRHKLSHKSPSEIRKFKCGMCSFETDRKDALAEHELTHKSPSEITMFKCELCKFETKRKRDIGRHLLHVHKKPSEMTIYKCEFCTYETKNKQYFMRHKLNHKSPSEVTMTKCKLCEFETKCKYSLKKHMLIHKNPSENMGISKNIVACMECTSNLQIFLTLKSVCGDMREKSLLLAELSNNVTLNSVNPNHLKSAGEAKDEISCSFCTKSVGQEILIPLRESKQNMFMLDMLDKYIPELNIRNTDEFLTCQTCLNGLQSVSNFLMNFYDVEEKISEYMEIKGIYGKEPIDLQDVQQFRIEQTLKFEGQVNALGQTYDQNQENYTIKVETEIDCKIEVDDINPTIKTEDIDIKSEQSDCDSIQESTTGVKLDNDPLRLQLYKCELCPFETKYNSSFKRHALTHKKYSIDTTLYKCEMCTYETINKYRLDDHVLTHKSRFDIEMFKCELCAFETKRKPGLKRHMFVVHANIPEVKSYKCEMCTYVTKCKLYLNRHKLSHKSLSEVTIFKCEMCSYKTKLKGSLRTHMLIHKSPSEVKMYKCDDCTYETNRKSSLMSHILIHKDPSEMTMFKCGLCTFEAKRKGELNQHVLIVHKNPSILYKCDSCTYKTKRNDYLNRHMLVHRSPTEVTMFGCEICEFKTKRKYNLKTHMLLHKIPSELTLYECETCTFKTKFKTNLNKHKLIHK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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