Basic Information

Gene Symbol
-
Assembly
GCA_030625045.1
Location
JAULSB010000127.1:1078760-1102356[-]

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 0.012 0.9 10.8 0.3 1 23 570 593 570 593 0.96
2 13 0.83 61 5.0 0.6 1 23 601 623 601 623 0.95
3 13 1.6 1.2e+02 4.1 2.4 1 23 627 649 627 649 0.97
4 13 8.8 6.5e+02 1.8 1.3 1 12 654 665 654 667 0.91
5 13 0.001 0.077 14.1 0.7 1 20 704 723 704 725 0.94
6 13 0.013 0.95 10.7 1.3 2 21 732 751 732 752 0.92
7 13 0.00055 0.04 15.0 1.0 2 23 768 789 767 789 0.94
8 13 0.0013 0.095 13.8 0.3 1 23 794 816 794 816 0.98
9 13 0.00059 0.043 14.9 5.7 1 21 825 845 825 850 0.94
10 13 0.00094 0.069 14.3 1.7 1 23 858 881 858 881 0.92
11 13 0.01 0.75 11.0 0.4 1 23 887 910 887 910 0.96
12 13 0.032 2.3 9.5 0.4 3 19 924 940 922 941 0.89
13 13 0.066 4.9 8.5 0.9 1 23 954 977 954 977 0.95

Sequence Information

Coding Sequence
atgggcgaaatagatattaatatagagGGTTACAATGTGAACGGCATATGTGTCGGTTGTTTAAATTACAATCGCAAGATGTTTTACagcgaagaaataaaaatttgtttcaaGATTATCGCCAATATTGATGTTCCTGATGGCCTCTCAATCCAGGTGTGCTGGGAATGCCTGGCTGCTGTCAAAGCAGTGGGTCGCTTTCAAGCTCAAATCTTGAAGTCATATGATGTCCTCATTGAATACTCAAAACAGCATACATTCCTCAATTCGCCAGTAGACATCACAGCATTTGCGACCACTCAACTTACTGTGGGTGTATTGGATAACATATCTATAGAACAAAGTAGTACTTCAGAGCCAGATAATGATTTCAACATGGACGTAGACCTAAAGTTGGAGGATAAAGCATTCCAAGATGATCCAGATTTTATACTAAAGGAAGAAGAATACATAGAAGAATCACACTTCTCAGACAACTTATCTCAAGAACAAGATGGAACTTCCGACGATGACGTGCAACTGTCGCAATTGAAAACTGAGAAGACTAGGAAGAAGGAGAAAAGAGAAAAGAAAGGGAGAAAAATGAAGAGTAAAAAAGAACCGGTCACTCTGTCTAAGATCAGCAAACGAAGCAAATATAAAGAAGGATACATGGAAAAAGCATTAGATTCCGTCAAAAAATTACGCTATTCTTATTATAAGCAGCAAAGAGATACAAAAAAACTAAGGGCTCTTGGTCAAACCAGGTGTGAAGCACTACAAGTGTTTTCTAACGAAGAAGAAAAAATTGTAGTCGATTGGATTACAGAGCAGAGGAAACGTGGGTTCCCAAGAAAGAAAGACGATGTTAAGTCTTTCATTGTTCAGTTACTCAACGATCTACCAAGACCGAATCCGTTTCCAGAAAACATACCTGGAGATGATTGGATAGAAGATTTTGAAAAACGACACCCAATTCTAACACAAATACCTAAATCACAGGACGCAGAGGCTGAGGTTAAACAGTGGTTCGAAAACGTAAactcatacataaatacaaataatttaaagaagGTTATACGTGATCCCAAACGCTTATTTATAATTGATGagactaattttaatatatcaccTAAAATATCACTTTGTAATTACGATAAAAGTCTAGATGCTACAACTGCTTTGGTAGAAAACTTCACAGTTATGTTCACGTTCTCAGCAAATGGCTTTTGTTGTAATCCATATCTTGTTTAtccgtttaaaaatattacacggAAGTTAACAAACTGGATGCCAGTACAATGGATTAGTAATAATAGTGATAATGGTTTAATAACGGCCACATGTTTTCTAGAATATCTTTCTGAATTGTATGCGCAATTAAAGAGAGTTGCAATAACCTTTCCTATAATACTATTTGTAGATGGCAGAGTGCCTCTAAACATTGATATTACGAATTTATGCAAGAAGTTTGATATACATTTAGTAGCTTTTTATCCATATgctgataaaataattaatattgatgaAGCTACTTACAGACCAATAATTAAGGCGTGGATGGAAATGTCAAAACTTAAAGATATAAAACCATCAGAAGTTAAACCCAACCATCGCAAATTGAAGAACCTGCCTGAAGGTCTGGTGGAGGTGTACACGATGACTGAGGAGGAAATGTGGCAGATCAGGTCTGAAGATGTCACCAGCAAGGTGTTCAGCAAACTGAAATACAAATGTGATATGTGCCTTATAGGTTTCAATACGGAGAAACTAATGAATGACCATATGAATGGAAAACATAGGCCGAAAGGCAAAAAGTGCCATCAATGCGACGTGTGCCAAGCGTACTTCTTAACAAAAGAGAACGTGTCTGCCCACCGCGCACTCCACGCGTCCGCGTTCAGATGCTGCCGCTGTGACATACGAACTACCCTCAAGAGACTCATGCTGCGGCACGCACTAGTACATACGGGGCCGCAGCACCAGTGCGGCTCTTGCGGAGTTATGTTCAGAACGTGTCCGCCCACCGCGCGCTCCACTCGTCTGCGTTCCGATGTTGCCGCTGTGATATATGAACTACCCTCAAGAGATTCATGCTGCGGCACGCACTTCGAACATACAGGTCCTCAGCACCAGTGCGGCTCTTGCGGAGTTATGTTCagTACAAAATCGAAGTTGACTTACCATAGAAGTATATGTCGAAGGGAGCGCCCGCAATGTGACTGCTGTGGGAAAGTGTTCGCTAATAAGATGACCCTAAAGTACCATCTCAAattattACCACAGAATAAAGATGACAAACCGAAGGAGAAACTCTACATTCCATGCAAGGGCTGCGACAAAGTGTTCCACTCGAAGAAAAGTTACAGATCTCACGTCGTGATACACGAGGGCGTGACATACCCGTGTCCCACATGCGGCAAGCTGTTCCAATGGAAGCGTAACCTGGCGCGACACGCACGCAACCACCGGGAGCGCGAGCTGGGTGCACTGCACGAGTGCAGGGAGTGCAACAAGAGCTTCTCCAGCAGAGATTGCTACAACAACCATATGAGACTCAGCAAGCGGCATGTCGGTGAAGATGCATACGTCCACGAATGCAGTTATTGCGGTAAAAAGTTTGCAACCAAGTGGTGTATGGTGGACCATATTGACTGGGACCATCTCAAGCGAATCAAATACCAGTGCAGAGTTTGTTTCAAGgCCTTCAAAACAGCTAAAATTATGGTCGCCCACATGAACAATATACACGAAGGGAAGAGAGATAAAGTACCGGACGGGGAACACCTGTGTGAGATCTGTGGGAAATCATACAAGACTGTAAAACGGTTGAAGGGCCACGTGTGGGCGATGCATACGAACCGGTCTACCACTAAGAGCTTCAAATGCAAGCAATGCCCGGCGACTTTCACATGGCAGACGTCTATATACAAACACGTGAAGATAATGCATGAAAACAAACGGAGCAAGCTGTACCAGCCCCGAGCGCAACCACCGCCTGCAAAGAAAGAAGAGCCCTACCCGGGAATGGATCTCGCGAACCGCATGAACTATTTCCAACAAAACGTAACTGGCAACATAGGGCCTATACACCCTGTGCCTATTATACAAaatgtagtataa
Protein Sequence
MGEIDINIEGYNVNGICVGCLNYNRKMFYSEEIKICFKIIANIDVPDGLSIQVCWECLAAVKAVGRFQAQILKSYDVLIEYSKQHTFLNSPVDITAFATTQLTVGVLDNISIEQSSTSEPDNDFNMDVDLKLEDKAFQDDPDFILKEEEYIEESHFSDNLSQEQDGTSDDDVQLSQLKTEKTRKKEKREKKGRKMKSKKEPVTLSKISKRSKYKEGYMEKALDSVKKLRYSYYKQQRDTKKLRALGQTRCEALQVFSNEEEKIVVDWITEQRKRGFPRKKDDVKSFIVQLLNDLPRPNPFPENIPGDDWIEDFEKRHPILTQIPKSQDAEAEVKQWFENVNSYINTNNLKKVIRDPKRLFIIDETNFNISPKISLCNYDKSLDATTALVENFTVMFTFSANGFCCNPYLVYPFKNITRKLTNWMPVQWISNNSDNGLITATCFLEYLSELYAQLKRVAITFPIILFVDGRVPLNIDITNLCKKFDIHLVAFYPYADKIINIDEATYRPIIKAWMEMSKLKDIKPSEVKPNHRKLKNLPEGLVEVYTMTEEEMWQIRSEDVTSKVFSKLKYKCDMCLIGFNTEKLMNDHMNGKHRPKGKKCHQCDVCQAYFLTKENVSAHRALHASAFRCCRCDIRTTLKRLMLRHALVHTGPQHQCGSCGVMFRTCPPTARSTRLRSDVAAVIYELPSRDSCCGTHFEHTGPQHQCGSCGVMFSTKSKLTYHRSICRRERPQCDCCGKVFANKMTLKYHLKLLPQNKDDKPKEKLYIPCKGCDKVFHSKKSYRSHVVIHEGVTYPCPTCGKLFQWKRNLARHARNHRERELGALHECRECNKSFSSRDCYNNHMRLSKRHVGEDAYVHECSYCGKKFATKWCMVDHIDWDHLKRIKYQCRVCFKAFKTAKIMVAHMNNIHEGKRDKVPDGEHLCEICGKSYKTVKRLKGHVWAMHTNRSTTKSFKCKQCPATFTWQTSIYKHVKIMHENKRSKLYQPRAQPPPAKKEEPYPGMDLANRMNYFQQNVTGNIGPIHPVPIIQNVV

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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